Pin-Yu Chen
Orcid: 0000-0003-1039-8369
According to our database1,
Pin-Yu Chen
authored at least 353 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl., January, 2024
NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks.
CoRR, 2024
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance.
CoRR, 2024
CoRR, 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes.
CoRR, 2024
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.
CoRR, 2024
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis.
CoRR, 2024
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.
CoRR, 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR, 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
CoRR, 2024
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers.
CoRR, 2024
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection.
CoRR, 2024
CoRR, 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Knowl. Based Syst., 2023
IEEE Internet Things J., 2023
CoRR, 2023
CoRR, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR, 2023
CoRR, 2023
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
CoRR, 2023
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers.
CoRR, 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts.
CoRR, 2023
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets.
CoRR, 2023
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes.
CoRR, 2023
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits.
CoRR, 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models.
CoRR, 2023
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data.
Proceedings of the International Conference on Machine Learning, 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Conference on Health, Inference, and Learning, 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Signal Process., 2022
Nat. Mach. Intell., 2022
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study.
CoRR, 2022
CoRR, 2022
CoRR, 2022
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization.
CoRR, 2022
CoRR, 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data.
CoRR, 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration.
CoRR, 2022
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks.
CoRR, 2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning.
CoRR, 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
CoRR, 2022
CoRR, 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression.
CoRR, 2022
CoRR, 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Performance, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
Proceedings of the International Conference on Machine Learning, 2022
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
Proceedings of the IEEE International Conference on Acoustics, 2022
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case.
IEEE Trans. Neural Networks Learn. Syst., 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines.
CoRR, 2021
CoRR, 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks.
CoRR, 2021
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming.
CoRR, 2021
Towards creativity characterization of generative models via group-based subset scanning.
CoRR, 2021
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples.
CoRR, 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations.
CoRR, 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records.
CoRR, 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of Machine Learning and Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications.
IEEE Signal Process. Mag., 2020
Fluid intelligence is associated with cortical volume and white matter tract integrity within multiple-demand system across adult lifespan.
NeuroImage, 2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res., 2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.
CoRR, 2020
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case.
Proceedings of the 37th International Conference on Machine Learning, 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources.
Proceedings of the 37th International Conference on Machine Learning, 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2019
Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT.
IEEE Internet Things J., 2019
Data Sci. Eng., 2019
CoRR, 2019
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy.
CoRR, 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019
CoRR, 2019
CoRR, 2019
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks.
CoRR, 2019
IEEE Access, 2019
Reinforcement learning based interconnection routing for adaptive traffic optimization.
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, 2019
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
Proceedings of the SysML Conference 2019 (SysML 2019), 2019
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
An Exploration on the Effect of Augmented Reality Learning System on Situational Interest in Historical Building Guide.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Accelerated Distributed Dual Averaging Over Evolving Networks of Growing Connectivity.
IEEE Trans. Signal Process., 2018
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering.
IEEE Trans. Signal Process., 2018
Incremental eigenpair computation for graph Laplacian matrices: theory and applications.
Soc. Netw. Anal. Min., 2018
IEEE Internet Things J., 2018
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models.
IEEE Internet Things J., 2018
CoRR, 2018
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning.
CoRR, 2018
Is Ordered Weighted ℓ<sub>1</sub> Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.
CoRR, 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR, 2018
On the Limitation of MagNet Defense against L<sub>1</sub>-based Adversarial Examples.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018
On the Supermodularity of Active Graph-Based Semi-Supervised Learning with Stieltjes Matrix Regularization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms.
IEEE Trans. Signal Inf. Process. over Networks, 2017
IEEE Signal Process. Lett., 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017
2016
IEEE Commun. Mag., 2016
Proceedings of the 2016 IEEE Security and Privacy Workshops, 2016
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
CoRR, 2015
IEEE Commun. Mag., 2015
Proceedings of the 2015 Workshop on Automated Decision Making for Active Cyber Defense, 2015
Proceedings of the 18th International Conference on Network-Based Information Systems, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
2014
IEEE Trans. Cybern., 2014
IEEE Internet Things J., 2014
Universal Phase Transition in Community Detectability under a Stochastic Block Model.
CoRR, 2014
IEEE Commun. Mag., 2014
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014
Local Fiedler vector centrality for detection of deep and overlapping communities in networks.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
IEEE Trans. Veh. Technol., 2012
Rate-Delay Enhanced Multipath Transmission Scheme via Network Coding in Multihop Networks.
IEEE Commun. Lett., 2012
2011
IEEE Commun. Lett., 2011
Topology control in multi-channel cognitive radio networks with non-uniform node arrangements.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011
Proceedings of the Global Communications Conference, 2011
Proceedings of the Global Communications Conference, 2011
Reciprocal spectrum sharing game and mechanism in cellular systems with Cognitive Radio users.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011
2010
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology.
Proceedings of the Global Communications Conference, 2010