Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation.

[BibT_eX]

[DOI]

Jin Sun

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet.

[BibT_eX]

[DOI]

Kaidi Xu

Nguyen Van Huynh

Geoffrey Ye Li

IEEE Trans. Commun., October, 2023

Secrecy Rate Maximization of RIS-Assisted SWIPT Systems: A Two-Timescale Beamforming Design Approach.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., July, 2023

Why does batch normalization induce the model vulnerability on adversarial images?

[BibT_eX]

[DOI]

World Wide Web (WWW), May, 2023

Dynamic Adversarial Attacks on Autonomous Driving Systems.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly.

[BibT_eX]

[DOI]

CoRR, 2023

ACT: Adversarial Consistency Models.

[BibT_eX]

[DOI]

CoRR, 2023

PINNs-Based Uncertainty Quantification for Transient Stability Analysis.

[BibT_eX]

[DOI]

Ren Wang

Ming Zhong

Kaidi Xu

Lola Giráldez Sánchez-Cortés

Ignacio de Cominges Guerra

CoRR, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

[BibT_eX]

[DOI]

CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

[BibT_eX]

[DOI]

CoRR, 2023

Exposing the Fake: Effective Diffusion-Generated Images Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

[BibT_eX]

[DOI]

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

[BibT_eX]

[DOI]

CoRR, 2023

Using Caterpillar to Nibble Small-Scale Images.

[BibT_eX]

[DOI]

CoRR, 2023

Improve Video Representation with Temporal Adversarial Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Are Diffusion Models Vulnerable to Membership Inference Attacks?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantic Adversarial Attacks via Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Intelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Audit and Improve Robustness of Private Neural Networks on Encrypted Data.

[BibT_eX]

[DOI]

CoRR, 2022

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

General Cutting Planes for Bound-Propagation-Based Neural Network Verification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beamforming Design for Intelligent Reflecting Surface Aided Full-Duplex Relay Systems.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications With Power Splitting.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression.

[BibT_eX]

[DOI]

CoRR, 2021

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations.

[BibT_eX]

[DOI]

CoRR, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification.

[BibT_eX]

[DOI]

CoRR, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Two-Timescale Hybrid Analog-Digital Beamforming for mmWave Full-Duplex MIMO Multiple-Relay Aided Systems.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Defending against Backdoor Attack on Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adversarial T-Shirt! Evading Person Detectors in a Physical World.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Evading Real-Time Person Detectors by Adversarial T-shirt.

[BibT_eX]

[DOI]

CoRR, 2019

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.

[BibT_eX]

[DOI]

CoRR, 2019

Brain-inspired reverse adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2019

Interpreting Adversarial Examples by Activation Promotion and Suppression.

[BibT_eX]

[DOI]

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

[BibT_eX]

[DOI]

Jan-Henrik Lambrechts

CoRR, 2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

[BibT_eX]

[DOI]

CoRR, 2019

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Robustness vs. Model Compression, or Both?

[BibT_eX]

[DOI]

Jan-Henrik Lambrechts

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions.

[BibT_eX]

[DOI]

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

[BibT_eX]

[DOI]

CoRR, 2018

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.

[BibT_eX]

[DOI]

CoRR, 2018

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Supervised graph hashing for histopathology image retrieval and classification.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Asymmetric Discrete Graph Hashing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Kaidi Xu

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