Tianwei Zhang

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Fingerprinting Image-to-Image Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Course-Correction: Safety Alignment Using Synthetic Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Robust-Wide: Robust Watermarking Against Instruction-Driven Image Editing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Laser Shield: a Physical Defense with Polarizer against Laser Attacks on Autonomous Driving Systems.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

PhyScout: Detecting Sensor Spoofing Attacks via Spatio-temporal Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

CapsuleFormer: A Capsule and Transformer combined model for Decentralized Application encrypted traffic classification.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.

[BibT_eX]

[DOI]

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

SAME: Sample Reconstruction against Model Extraction Attacks.

[BibT_eX]

[DOI]

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

2023

Automatic Transformation Search Against Deep Leakage From Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Secure Decentralized Image Classification With Multiparty Homomorphic Encryption.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Physical Black-Box Adversarial Attacks Through Transformations.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2023

Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles.

[BibT_eX]

[DOI]

Robotica, February, 2023

DefQ: Defensive Quantization Against Inference Slow-Down Attack for Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., January, 2023

Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2023

Privacy-Aware and Security-Enhanced Efficient Matchmaking Encryption.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Verifiable, Fair and Privacy-Preserving Broadcast Authorization for Flexible Data Sharing in Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Hercules: Boosting the Performance of Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Share Your Data Carefree: An Efficient, Scalable and Privacy-Preserving Data Sharing Service in Cloud Computing.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

A survey on cybersecurity attacks and defenses for unmanned aerial systems.

[BibT_eX]

[DOI]

J. Syst. Archit., 2023

Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks.

[BibT_eX]

[DOI]

Xiaobei Yan

Chip-Hong Chang

CoRR, 2023

Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Adversarial Training with Neural Tangent Kernel.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Hardware-based Threat Detector for AI Accelerators.

[BibT_eX]

[DOI]

Xiaobei Yan

Han Qiu

CoRR, 2023

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding.

[BibT_eX]

[DOI]

CoRR, 2023

Sentiment Analysis through LLM Negotiations.

[BibT_eX]

[DOI]

CoRR, 2023

AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content.

[BibT_eX]

[DOI]

CoRR, 2023

Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction Tuning for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Backdooring Textual Inversion for Concept Censorship.

[BibT_eX]

[DOI]

CoRR, 2023

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.

[BibT_eX]

[DOI]

Gelei Deng

Yi Liu

Victor Mayoral Vilches

CoRR, 2023

Adversarial Training Over Long-Tailed Distribution.

[BibT_eX]

[DOI]

Guanlin Li

Guowen Xu

CoRR, 2023

Jailbreaker: Automated Jailbreak Across Multiple Large Language Model Chatbots.

[BibT_eX]

[DOI]

CoRR, 2023

Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets.

[BibT_eX]

[DOI]

CoRR, 2023

TPU as Cryptographic Accelerator.

[BibT_eX]

[DOI]

CoRR, 2023

Pushing the Limits of ChatGPT on NLP Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt Injection attack against LLM-integrated Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Extracting Cloud-based Model with Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2023

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2023

GPT-NER: Named Entity Recognition via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication.

[BibT_eX]

[DOI]

CoRR, 2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding.

[BibT_eX]

[DOI]

CoRR, 2023

Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

NAUTILUS: Automated RESTful API Vulnerability Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters.

[BibT_eX]

[DOI]

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Towards Robust and Expressive Whole-body Human Pose and Shape Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Extracting Robust Models with Uncertain Examples.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ATTA: Adversarial Task-transferable Attacks on Autonomous Driving Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Computation and Data Efficient Backdoor Attacks.

[BibT_eX]

[DOI]

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

Deep Multitask Learning with Progressive Parameter Sharing.

[BibT_eX]

[DOI]

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

One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training.

[BibT_eX]

[DOI]

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

MERCURY: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Field Programmable Technology, 2023

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Text Classification via Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Color Backdoor: A Robust Poisoning Attack in Color Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PriFR: Privacy-preserving Large-scale File Retrieval System via Blockchain for Encrypted Cloud Data.

[BibT_eX]

[DOI]

Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023

Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multi-target Backdoor Attacks for Code Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Defending against Backdoor Attacks in Natural Language Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Introduction to the Special Section on Energy-efficient and Secure Computing for Artificial Intelligence and Beyond.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, November, 2022

Astraea: A Fair Deep Learning Scheduler for Multi-Tenant GPU Clusters.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

A Practical Fog-Based Privacy-Preserving Online Car-Hailing Service System.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Ownership Verification of DNN Architectures via Hardware Cache Side Channels.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Byzantine-Resilient Decentralized Stochastic Gradient Descent.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Topology-Aware Differential Privacy for Decentralized Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Sentence Similarity Based on Contexts.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2022

Online adaptation for autonomous unmanned systems driven by requirements satisfaction model.

[BibT_eX]

[DOI]

Softw. Syst. Model., 2022

A Survey of Microarchitectural Side-channel Vulnerabilities, Attacks, and Defenses in Cryptography.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data.

[BibT_eX]

[DOI]

CoRR, 2022

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels (Short Version).

[BibT_eX]

[DOI]

Guanlin Li

Guowen Xu

CoRR, 2022

New Secure Sparse Inner Product with Applications to Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.

[BibT_eX]

[DOI]

CoRR, 2022

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision.

[BibT_eX]

[DOI]

CoRR, 2022

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization.

[BibT_eX]

[DOI]

CoRR, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

[BibT_eX]

[DOI]

CoRR, 2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search.

[BibT_eX]

[DOI]

CoRR, 2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild.

[BibT_eX]

[DOI]

CoRR, 2022

Threats to Pre-trained Language Models: Survey and Taxonomy.

[BibT_eX]

[DOI]

CoRR, 2022

Primo: Practical Learning-Augmented Systems with Interpretable Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms.

[BibT_eX]

[DOI]

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

Iron: Private Inference on Transformers.

[BibT_eX]

[DOI]

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

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

GNN-LM: Language Modeling based on Global Contexts via GNN.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

NASPY: Automated Extraction of Automated Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Formal Methodology for Verifying Side-Channel Vulnerabilities in Cache Architectures.

[BibT_eX]

[DOI]

Proceedings of the Formal Methods and Software Engineering, 2022

Watermarking Pre-trained Encoders in Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Tear Up the Bubble Boom: Lessons Learned From a Deep Learning Research and Development Cluster.

[BibT_eX]

[DOI]

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Improving Adversarial Robustness of 3D Point Cloud Classification Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Titan: a scheduler for foundation model fine-tuning workloads.

[BibT_eX]

[DOI]

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Cache Refinement Type for Side-Channel Detection of Cryptographic Software.

[BibT_eX]

[DOI]

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

On the (In)Security of Secure ROS2.

[BibT_eX]

[DOI]

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

Fast Nearest Neighbor Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Novel denial-of-service attacks against cloud-based multi-robot systems.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Toward Secure and Efficient Deep Learning Inference in Dependable IoT Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Adversarial Attacks Against Network Intrusion Detection in IoT Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Faster Nearest Neighbor Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2021

Protecting Your NLG Models with Semantic and Robust Watermarks.

[BibT_eX]

[DOI]

CoRR, 2021

A General Framework for Defending Against Backdoor Attacks via Influence Graph.

[BibT_eX]

[DOI]

CoRR, 2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.

[BibT_eX]

[DOI]

CoRR, 2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time.

[BibT_eX]

[DOI]

CoRR, 2021

A Stealthy and Robust Fingerprinting Scheme for Generative Models.

[BibT_eX]

[DOI]

CoRR, 2021

PEEL: A Provable Removal Attack on Deep Hiding.

[BibT_eX]

[DOI]

CoRR, 2021

Defending against Backdoor Attacks in Natural Language Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Parameter Estimation for the SEIR Model Using Recurrent Nets.

[BibT_eX]

[DOI]

CoRR, 2021

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Risk Analysis and Policy Enforcement of Function Interactions in Robot Apps.

[BibT_eX]

[DOI]

Yuan Xu

Yungang Bao

CoRR, 2021

When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels.

[BibT_eX]

[DOI]

CoRR, 2021

Local Black-box Adversarial Attacks: A Query Efficient Approach.

[BibT_eX]

[DOI]

CoRR, 2021

Characterization and prediction of deep learning workloads in large-scale GPU datacenters.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Analysis and Mitigation of Function Interaction Risks in Robot Apps.

[BibT_eX]

[DOI]

Yuan Xu

Yungang Bao

Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 2021

An Investigation of Byzantine Threats in Multi-Robot Systems.

[BibT_eX]

[DOI]

Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 2021

Practical and Scalable Security Verification of Secure Architectures.

[BibT_eX]

[DOI]

Jakub Szefer

Proceedings of the HASP '21: Workshop on Hardware and Architectural Support for Security and Privacy, 2021

Systematic Testing of Autonomous Driving Systems Using Map Topology-Based Scenario Classification.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-wise Model Pruning based on Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Privacy-Preserving Collaborative Learning With Automatic Transformation Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs.

[BibT_eX]

[DOI]

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Temporal Watermarks for Deep Reinforcement Learning Models.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Stealing Deep Reinforcement Learning Models for Fun and Profit.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation.

[BibT_eX]

[DOI]

Bhavani Thuraisingham

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

Efficient, Private and Robust Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques.

[BibT_eX]

[DOI]

CoRR, 2020

The Hidden Vulnerability of Watermarking for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Adversarial Examples withControllable Non-transferability.

[BibT_eX]

[DOI]

CoRR, 2020

A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially Private Decentralized Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Stealing Deep Reinforcement Learning Models for Fun and Profit.

[BibT_eX]

[DOI]

CoRR, 2020

Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques.

[BibT_eX]

[DOI]

CoRR, 2020

Resisting Adversarial Examples via Wavelet Extension and Denoising.

[BibT_eX]

[DOI]

Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

Position Paper: Consider Hardware-enhanced Defenses for Rootkit Attacks.

[BibT_eX]

[DOI]

Guangyuan Hu

Proceedings of the HASP@MICRO 2020: Hardware and Architectural Support for Security and Privacy, 2020

A Software Stack for Composable Cloud Robotics System.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Revisiting and Evaluating Software Side-channel Vulnerabilities and Countermeasures in Cryptographic Applications.

[BibT_eX]

[DOI]

Jun Jiang

CoRR, 2019

Sensitive-Sample Fingerprinting of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Model inversion attacks against collaborative inference.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

Design, Implementation and Verification of Cloud Architecture for Monitoring a Virtual Machine's Security Health.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2018

VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting.

[BibT_eX]

[DOI]

CoRR, 2018

Privacy-preserving Machine Learning through Data Obfuscation.

[BibT_eX]

[DOI]

CoRR, 2018

IcoRating: A Deep-Learning System for Scam ICO Identification.

[BibT_eX]

[DOI]

CoRR, 2018

Analyzing Cache Side Channels Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Host-Based Dos Attacks and Defense in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Hardware and Architectural Support for Security and Privacy, 2017

CloudShelter: Protecting Virtual Machines' Memory Resource Availability in Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Machine Learning Based DDoS Attack Detection from Source Side in Cloud.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

DoS Attacks on Your Memory in Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016

Monitoring and Attestation of Virtual Machine Security Health in Cloud Computing.

[BibT_eX]

[DOI]

IEEE Micro, 2016

Memory DoS Attacks in Multi-tenant Clouds: Severity and Mitigation.

[BibT_eX]

[DOI]

CoRR, 2016

CloudRadar: A Real-Time Side-Channel Attack Detection System in Clouds.

[BibT_eX]

[DOI]

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2016

2015

CloudMonatt: an architecture for security health monitoring and attestation of virtual machines in cloud computing.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2014

New models of cache architectures characterizing information leakage from cache side channels.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual Computer Security Applications Conference, 2014

2013

Side channel vulnerability metrics: the promise and the pitfalls.

[BibT_eX]

[DOI]

Proceedings of the HASP 2013, 2013

A Framework for Realizing Security on Demand in Cloud Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2012

Security verification of hardware-enabled attestation protocols.

[BibT_eX]

[DOI]

Jakub Szefer