Yang Zhang - RankMe

290 papers A* 84A 16B 7C 3Misc 3Journal 160Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Humans welcome to observe": A First Look at the Agent Social Network Moltbook. CoRR Yukun Jiang, Yage Zhang, Xinyue Shen, Michael Backes, Yang Zhang
2026	J	`jnl`	Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks. CoRR Junjie Chu, Xinyue Shen, Ye Leng, Michael Backes, Yun Shen, Yang Zhang
2026	—	`conf`	Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models. EACL (Findings) Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, Alice Dethise, Klaus Satzke, Ivica Rimac, Yang Zhang
2026	J	`jnl`	Hide&Seek: Remove Image Watermarks with Negligible Cost via Pixel-wise Reconstruction. CoRR Huajie Chen, Tianqing Zhu, Hailin Yang, Yuchen Zhong, Yang Zhang, Hui Sun, Heng Xu, Zuobin Ying, Lihua Yin, Wanlei Zhou
2026	J	`jnl`	Model Hijacking Attack in Federated Learning. IEEE Trans. Inf. Forensics Secur. Zheng Li, Siyuan Wu, Ruichuan Chen, Paarijaat Aditya, Istemi Ekin Akkus, Manohar Vanga, Min Zhang, Hao Li, Yang Zhang
2026	J	`jnl`	Real Money, Fake Models: Deceptive Model Claims in Shadow APIs. CoRR Yage Zhang, Yukun Jiang, Zeyuan Chen, Michael Backes, Xinyue Shen, Yang Zhang
2026	J	`jnl`	Revealing the Risk of Hyper-Parameter Leakage in Deep Reinforcement Learning Models. IEEE Trans. Dependable Secur. Comput. Linkang Du, Zhikun Zhang, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Michael Backes, Yang Zhang
2026	J	`jnl`	Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models. IEEE Trans. Inf. Forensics Secur. Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
2026	J	`jnl`	Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs. CoRR Yukun Jiang, Hai Huang, Mingjie Li, Yage Zhang, Michael Backes, Yang Zhang
2026	J	`jnl`	Turning Black Box into White Box: Dataset Distillation Leaks. CoRR Huajie Chen, Tianqing Zhu, Yuchen Zhong, Yang Zhang, Shang Wang, Feng He, Lefeng Zhang, Jialiang Shen, Minghao Wang, Wanlei Zhou
2026	J	`jnl`	Understanding LLM Behavior When Encountering User-Supplied Harmful Content in Harmless Tasks. CoRR Junjie Chu, Yiting Qu, Ye Leng, Michael Backes, Yun Shen, Savvas Zannettou, Yang Zhang
2026	J	`jnl`	When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm. CoRR Ye Leng, Junjie Chu, Mingjie Li, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang
2025	J	`jnl`	A Comprehensive Study of Privacy Risks in Curriculum Learning. Proc. Priv. Enhancing Technol. Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li
2025	J	`jnl`	Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency. CoRR Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang
2025	J	`jnl`	Advancing membership inference attacks: The present and the future. Secur. Saf. Zheng Li, Yang Zhang
2025	J	`jnl`	Amplifying Machine Learning Attacks Through Strategic Compositions. CoRR Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Yang Zhang
2025	—	`conf`	Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media. ACL (1) Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He
2025	J	`jnl`	AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents. CoRR Yixin Wu, Rui Wen, Chi Cui, Michael Backes, Yang Zhang
2025	A*	`conf`	Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. EMNLP Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang
2025	A*	`conf`	Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities. USENIX Security Symposium Yiting Qu, Michael Backes, Yang Zhang
2025	J	`jnl`	Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities. CoRR Yiting Qu, Michael Backes, Yang Zhang
2025	A*	`conf`	Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning. USENIX Security Symposium Dayong Ye, Tianqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025	J	`jnl`	Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning. CoRR Dayong Ye, Tainqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025	A*	`conf`	Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI. USENIX Security Symposium Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025	J	`jnl`	Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI. CoRR Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025	J	`jnl`	Defeating Cerberus: Concept-Guided Privacy-Leakage Mitigation in Multimodal Language Models. CoRR Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, Alice Dethise, Klaus Satzke, Ivica Rimac, Yang Zhang
2025	A*	`conf`	Enhanced Label-Only Membership Inference Attacks with Fewer Queries. USENIX Security Symposium Hao Li, Zheng Li, Siyuan Wu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang
2025	J	`jnl`	Excessive Reasoning Attack on Reasoning LLMs. CoRR Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang
2025	J	`jnl`	Fairness and/or Privacy on Social Graphs. CoRR Bartlomiej Surma, Michael Backes, Yang Zhang
2025	J	`jnl`	From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection. CoRR Mengfei Liang, Yiting Qu, Yukun Jiang, Michael Backes, Yang Zhang
2025	A*	`conf`	From Meme to Threat: On the Hateful Meme Understanding and Induced Hateful Content Generation in Open-Source Vision Language Models. USENIX Security Symposium Yihan Ma, Xinyue Shen, Yiting Qu, Ning Yu, Michael Backes, Savvas Zannettou, Yang Zhang
2025	J	`jnl`	GEO-Detective: Unveiling Location Privacy Risks in Images with LLM Agents. CoRR Xinyu Zhang, Yixin Wu, Boyang Zhang, Chenhao Lin, Chao Shen, Michael Backes, Yang Zhang
2025	A*	`conf`	GPTracker: A Large-Scale Measurement of Misused GPTs. SP Xinyue Shen, Yun Shen, Michael Backes, Yang Zhang
2025	A*	`conf`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. USENIX Security Symposium Atilla Akkus, Masoud Poorghaffar Aghdam, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2025	J	`jnl`	Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions. CoRR Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang
2025	A*	`conf`	HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns. USENIX Security Symposium Xinyue Shen, Yixin Wu, Yiting Qu, Michael Backes, Savvas Zannettou, Yang Zhang
2025	J	`jnl`	HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns. CoRR Xinyue Shen, Yixin Wu, Yiting Qu, Michael Backes, Savvas Zannettou, Yang Zhang
2025	J	`jnl`	JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring. CoRR Junjie Chu, Mingjie Li, Ziqing Yang, Ye Leng, Chenhao Lin, Chao Shen, Michael Backes, Yun Shen, Yang Zhang
2025	—	`conf`	JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs. ACL (1) Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang
2025	J	`jnl`	Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning. CoRR Ang Li, Zhihang Yuan, Yang Zhang, Shouda Liu, Yisen Wang
2025	A*	`conf`	Membership Inference Attacks Against Vision-Language Models. USENIX Security Symposium Yuke Hu, Zheng Li, Zhihao Liu, Yang Zhang, Zhan Qin, Kui Ren, Chun Chen
2025	J	`jnl`	Membership Inference Attacks Against Vision-Language Models. CoRR Yuke Hu, Zheng Li, Zhihao Liu, Yang Zhang, Zhan Qin, Kui Ren, Chun Chen
2025	A	`conf`	Neeko: Model Hijacking Attacks Against Generative Adversarial Networks. ICME Junjie Chu, Yugeng Liu, Xinlei He, Michael Backes, Yang Zhang, Ahmed Salem
2025	A*	`conf`	On the Effectiveness of Prompt Stealing Attacks on In-the-Wild Prompts. SP Yicong Tan, Xinyue Shen, Yun Shen, Michael Backes, Yang Zhang
2025	—	`conf`	On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing. KDD (2) Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He
2025	A*	`conf`	On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. USENIX Security Symposium Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
2025	J	`jnl`	Peering Behind the Shield: Guardrail Identification in Large Language Models. CoRR Ziqing Yang, Yixin Wu, Rui Wen, Michael Backes, Yang Zhang
2025	J	`jnl`	Preface: Security and safety of data in cloud computing. Secur. Saf. Dengguo Feng, Jian Ren, Yang Zhang
2025	A*	`conf`	SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. ICLR Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
2025	J	`jnl`	SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. CoRR Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	A*	`conf`	SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark. USENIX Security Symposium Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang
2025	J	`jnl`	SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark. CoRR Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang
2025	J	`jnl`	SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling. CoRR Yi Guo, Wei Wang, Zhihang Yuan, Rong Cao, Kuan Chen, Zhengyang Chen, Yuanyuan Huo, Yang Zhang, Yuping Wang, Shouda Liu, Yuxuan Wang
2025	A*	`conf`	Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications. USENIX Security Symposium Yixin Wu, Ziqing Yang, Yun Shen, Michael Backes, Yang Zhang
2025	J	`jnl`	Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications. CoRR Yixin Wu, Ziqing Yang, Yun Shen, Michael Backes, Yang Zhang
2025	J	`jnl`	The Challenge of Identifying the Origin of Black-Box Large Language Models. CoRR Ziqing Yang, Yixin Wu, Yun Shen, Wei Dai, Michael Backes, Yang Zhang
2025	A*	`conf`	The Ripple Effect: On Unforeseen Complications of Backdoor Attacks. ICML Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang
2025	J	`jnl`	The Ripple Effect: On Unforeseen Complications of Backdoor Attacks. CoRR Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang
2025	A*	`conf`	Towards Understanding Unsafe Video Generation. NDSS Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang
2025	A*	`conf`	Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? NDSS Rui Wen, Michael Backes, Yang Zhang
2025	A*	`conf`	UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images. CCS Yiting Qu, Xinyue Shen, Yixin Wu, Michael Backes, Savvas Zannettou, Yang Zhang
2025	J	`jnl`	Watermarking LLM-Generated Datasets in Downstream Tasks. CoRR Yugeng Liu, Tianshuo Cong, Michael Backes, Zheng Li, Yang Zhang
2025	—	`conf`	When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs. ACL (1) Xinyue Shen, Yun Shen, Michael Backes, Yang Zhang
2025	J	`jnl`	When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs. CoRR Xinyue Shen, Yun Shen, Michael Backes, Yang Zhang
2025	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. Proc. Priv. Enhancing Technol. Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2024	A*	`conf`	"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. CCS Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang
2024	J	`jnl`	Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media. CoRR Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He
2024	A*	`conf`	BadMerging: Backdoor Attacks Against Model Merging. CCS Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
2024	J	`jnl`	Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. CoRR Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang
2024	—	`conf`	Composite Backdoor Attacks Against Large Language Models. NAACL-HLT (Findings) Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
2024	J	`jnl`	Comprehensive Assessment of Jailbreak Attacks Against LLMs. CoRR Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang
2024	J	`jnl`	Conversation Reconstruction Attack Against GPT Models. CoRR Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang
2024	Misc	`conf`	Detection and Attribution of Models Trained on Generated Data. ICASSP Ge Han, Ahmed Salem, Zheng Li, Shanqing Guo, Michael Backes, Yang Zhang
2024	J	`jnl`	Efficient Data-Free Model Stealing with Label Diversity. CoRR Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang
2024	A	`conf`	FAKEPCD: Fake Point Cloud Detection via Source Attribution. AsiaCCS Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
2024	A	`conf`	Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming. ICWSM Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang
2024	J	`jnl`	Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. CoRR Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav
2024	A	`conf`	Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. WACV Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2024	J	`jnl`	ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization. CoRR Wai Man Si, Michael Backes, Yang Zhang
2024	A*	`conf`	Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution. CCS Yixin Wu, Yun Shen, Michael Backes, Yang Zhang
2024	J	`jnl`	Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution. CoRR Yixin Wu, Yun Shen, Michael Backes, Yang Zhang
2024	A	`conf`	Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	J	`jnl`	Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	A*	`conf`	Instruction Backdoor Attacks Against Customized LLMs. USENIX Security Symposium Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang
2024	A*	`conf`	LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. CCS Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2024	J	`jnl`	Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2024	J	`jnl`	Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2024	A*	`conf`	MGTBench: Benchmarking Machine-Generated Text Detection. CCS Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang
2024	J	`jnl`	Membership Inference Attack Against Masked Image Modeling. CoRR Zheng Li, Xinlei He, Ning Yu, Yang Zhang
2024	A*	`conf`	Membership Inference Attacks Against In-Context Learning. CCS Rui Wen, Zheng Li, Michael Backes, Yang Zhang
2024	J	`jnl`	Membership Inference Attacks Against In-Context Learning. CoRR Rui Wen, Zheng Li, Michael Backes, Yang Zhang
2024	A*	`conf`	ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. EMNLP Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang
2024	J	`jnl`	Model Hijacking Attack in Federated Learning. CoRR Zheng Li, Siyuan Wu, Ruichuan Chen, Paarijaat Aditya, Istemi Ekin Akkus, Manohar Vanga, Min Zhang, Hao Li, Yang Zhang
2024	J	`jnl`	On the Generalization Ability of Machine-Generated Text Detectors. CoRR Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He
2024	J	`jnl`	Prompt Stealing Attacks Against Large Language Models. CoRR Zeyang Sha, Yang Zhang
2024	A*	`conf`	Prompt Stealing Attacks Against Text-to-Image Generation Models. USENIX Security Symposium Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang
2024	A*	`conf`	Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
2024	J	`jnl`	Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization. CoRR Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang
2024	A*	`conf`	Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models. EMNLP Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang
2024	J	`jnl`	SOS! Soft Prompt Attack Against Open-Source Large Language Models. CoRR Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem
2024	A*	`conf`	SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
2024	A*	`conf`	SeqMIA: Sequential-Metric Based Membership Inference Attack. CCS Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang
2024	J	`jnl`	SeqMIA: Sequential-Metric Based Membership Inference Attack. CoRR Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang
2024	A*	`conf`	Test-Time Poisoning Attacks Against Test-Time Adaptation Models. SP Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang
2024	A*	`conf`	The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective. EMNLP Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang
2024	J	`jnl`	Towards Understanding Unsafe Video Generation. CoRR Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang
2024	J	`jnl`	Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? CoRR Rui Wen, Michael Backes, Yang Zhang
2024	J	`jnl`	UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images. CoRR Yiting Qu, Xinyue Shen, Yixin Wu, Michael Backes, Savvas Zannettou, Yang Zhang
2024	J	`jnl`	VGMShield: Mitigating Misuse of Video Generative Models. CoRR Yan Pang, Yang Zhang, Tianhao Wang
2024	J	`jnl`	Vera Verto: Multimodal Hijacking Attack. CoRR Minxing Zhang, Ahmed Salem, Michael Backes, Yang Zhang
2024	J	`jnl`	VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection. IEEE Trans. Dependable Secur. Comput. Xiaokuan Zhang, Yang Zhang, Yinqian Zhang
2024	J	`jnl`	Voice Jailbreak Attacks Against GPT-4o. CoRR Xinyue Shen, Yixin Wu, Michael Backes, Yang Zhang
2024	A*	`conf`	You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content. SP Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang
2024	A*	`conf`	ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. CCS Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang
2023	J	`jnl`	"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. CoRR Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	A Comprehensive Study of Privacy Risks in Curriculum Learning. CoRR Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li
2023	A*	`conf`	A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. USENIX Security Symposium Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
2023	J	`jnl`	A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. CoRR Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
2023	A*	`conf`	Backdoor Attacks Against Dataset Distillation. NDSS Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Backdoor Attacks Against Dataset Distillation. CoRR Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
2023	A*	`conf`	Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CVPR Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2023	J	`jnl`	Composite Backdoor Attacks Against Large Language Models. CoRR Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Comprehensive Assessment of Toxicity in ChatGPT. CoRR Boyang Zhang, Xinyue Shen, Wai Man Si, Zeyang Sha, Zeyuan Chen, Ahmed Salem, Yun Shen, Michael Backes, Yang Zhang
2023	A*	`conf`	DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. CCS Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
2023	A*	`conf`	Data Poisoning Attacks Against Multimodal Encoders. ICML Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang
2023	A	`conf`	Differentially Private Resource Allocation. ACSAC Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li
2023	A*	`conf`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	J	`jnl`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	J	`jnl`	FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
2023	J	`jnl`	From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need. CoRR Ziqing Yang, Zeyang Sha, Michael Backes, Yang Zhang
2023	J	`jnl`	Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. CoRR Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2023	A*	`conf`	Generated Graph Detection. ICML Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Generated Graph Detection. CoRR Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis. CoRR Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang
2023	J	`jnl`	In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT. CoRR Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang
2023	A*	`conf`	Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
2023	J	`jnl`	Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning. CoRR Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem
2023	J	`jnl`	MGTBench: Benchmarking Machine-Generated Text Detection. CoRR Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang
2023	J	`jnl`	Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing. CoRR Wai Man Si, Michael Backes, Yang Zhang
2023	—	`conf`	NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. ACL (1) Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
2023	J	`jnl`	NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. CoRR Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
2023	A*	`conf`	On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. SP Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou
2023	J	`jnl`	On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. CoRR Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
2023	A*	`conf`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2023	—	`ed.`	Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, LAMPS 2024, Salt Lake City, UT, USA, October 14-18, 2024 LAMPS@CCS Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2023	J	`jnl`	Prompt Backdoors in Visual Prompt Learning. CoRR Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Prompt Stealing Attacks Against Text-to-Image Generation Models. CoRR Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang
2023	A*	`conf`	Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. AAAI Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang
2023	J	`jnl`	Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. CoRR Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang
2023	J	`jnl`	Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
2023	J	`jnl`	Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models. CoRR Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
2023	J	`jnl`	Test-Time Poisoning Attacks Against Test-Time Adaptation Models. CoRR Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang
2023	A*	`conf`	Two-in-One: A Model Hijacking Attack Against Text Generation Models. USENIX Security Symposium Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
2023	J	`jnl`	Two-in-One: A Model Hijacking Attack Against Text Generation Models. CoRR Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
2023	A*	`conf`	UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2023	A*	`conf`	Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models. CCS Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang
2023	J	`jnl`	Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models. CoRR Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang
2023	J	`jnl`	Vision-language models boost food composition compilation. CoRR Peihua Ma, Yixin Wu, Ning Yu, Yang Zhang, Michael Backes, Qin Wang, Cheng-I Wei
2023	J	`jnl`	Watermarking Diffusion Model. CoRR Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. CoRR Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2023	J	`jnl`	You Are How You Walk: Quantifying Privacy Risks in Step Count Data. CoRR Bartlomiej Surma, Tahleen A. Rahman, Monique M. B. Breteler, Michael Backes, Yang Zhang
2023	J	`jnl`	You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content. CoRR Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang
2022	A*	`conf`	Amplifying Membership Exposure via Data Poisoning. NeurIPS Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang
2022	J	`jnl`	Amplifying Membership Exposure via Data Poisoning. CoRR Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang
2022	A*	`conf`	Auditing Membership Leakages of Multi-Exit Networks. CCS Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022	J	`jnl`	Auditing Membership Leakages of Multi-Exit Networks. CoRR Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022	J	`jnl`	Backdoor Attacks in the Supply Chain of Masked Image Modeling. CoRR Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang
2022	J	`jnl`	Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CoRR Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
2022	J	`jnl`	DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. CoRR Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
2022	J	`jnl`	Data Poisoning Attacks Against Multimodal Encoders. CoRR Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang
2022	A	`conf`	Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
2022	J	`jnl`	FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. CoRR Cheng-Te Li, Cheng Hsu, Yang Zhang
2022	J	`jnl`	FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. ACM Trans. Intell. Syst. Technol. Cheng-Te Li, Cheng Hsu, Yang Zhang
2022	A*	`conf`	Finding MNEMON: Reviving Memories of Node Embeddings. CCS Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
2022	J	`jnl`	Finding MNEMON: Reviving Memories of Node Embeddings. CoRR Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
2022	J	`jnl`	Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. CoRR Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang
2022	A*	`conf`	Get a Model! Model Hijacking Attack Against Machine Learning Models. NDSS Ahmed Salem, Michael Backes, Yang Zhang
2022	A*	`conf`	Graph Unlearning. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2022	A*	`conf`	Inference Attacks Against Graph Neural Networks. USENIX Security Symposium Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
2022	A*	`conf`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2022	J	`jnl`	Membership Inference Attacks Against Text-to-image Generation Models. CoRR Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
2022	A*	`conf`	Membership Inference Attacks by Exploiting Loss Trajectory. CCS Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang
2022	J	`jnl`	Membership Inference Attacks by Exploiting Loss Trajectory. CoRR Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang
2022	J	`jnl`	Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. CoRR Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang
2022	A*	`conf`	Model Stealing Attacks Against Inductive Graph Neural Networks. SP Yun Shen, Xinlei He, Yufei Han, Yang Zhang
2022	A	`conf`	On Xing Tian and the Perseverance of Anti-China Sentiment Online. ICWSM Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang
2022	J	`jnl`	On Xing Tian and the Perseverance of Anti-China Sentiment Online. CoRR Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang
2022	J	`jnl`	On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. CoRR Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou
2022	A*	`conf`	On the Privacy Risks of Cell-Based NAS Architectures. CCS Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
2022	J	`jnl`	On the Privacy Risks of Cell-Based NAS Architectures. CoRR Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
2022	J	`jnl`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2022	A*	`conf`	Property Inference Attacks Against GANs. NDSS Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang
2022	A*	`conf`	SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. CCS Tianshuo Cong, Xinlei He, Yang Zhang
2022	J	`jnl`	SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. CoRR Tianshuo Cong, Xinlei He, Yang Zhang
2022	—	`conf`	Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
2022	J	`jnl`	Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
2022	A*	`conf`	Teacher Model Fingerprinting Attacks Against Transfer Learning. USENIX Security Symposium Yufei Chen, Chao Shen, Cong Wang, Yang Zhang
2022	J	`jnl`	UnGANable: Defending Against GAN-based Face Manipulation. CoRR Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2022	J	`jnl`	Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CoRR Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang
2022	A*	`conf`	Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CCS Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang
2021	A*	`conf`	"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. WWW Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou
2021	A	`conf`	BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang
2021	J	`jnl`	DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network. IEEE Trans. Dependable Secur. Comput. Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu
2021	J	`jnl`	Get a Model! Model Hijacking Attack Against Machine Learning Models. CoRR Ahmed Salem, Michael Backes, Yang Zhang
2021	J	`jnl`	Graph Unlearning. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2021	J	`jnl`	Inference Attacks Against Graph Neural Networks. CoRR Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
2021	J	`jnl`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2021	—	`conf`	MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz
2021	A*	`conf`	Membership Inference Attacks Against Recommender Systems. CCS Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang
2021	J	`jnl`	Membership Inference Attacks Against Recommender Systems. CoRR Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang
2021	A*	`conf`	Membership Leakage in Label-Only Exposures. CCS Zheng Li, Yang Zhang
2021	J	`jnl`	Model Stealing Attacks Against Inductive Graph Neural Networks. CoRR Yun Shen, Xinlei He, Yufei Han, Yang Zhang
2021	J	`jnl`	Node-Level Membership Inference Attacks Against Graph Neural Networks. CoRR Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang
2021	J	`jnl`	On exploring feature representation learning of items to forecast their rise and fall in social media. J. Intell. Inf. Syst. Cheng-Te Li, Hsin-Yu Chen, Yang Zhang
2021	A*	`conf`	PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2021	J	`jnl`	Property Inference Attacks Against GANs. CoRR Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang
2021	A*	`conf`	Quantifying and Mitigating Privacy Risks of Contrastive Learning. CCS Xinlei He, Yang Zhang
2021	J	`jnl`	Quantifying and Mitigating Privacy Risks of Contrastive Learning. CoRR Xinlei He, Yang Zhang
2021	A*	`conf`	Stealing Links from Graph Neural Networks. USENIX Security Symposium Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2021	J	`jnl`	Teacher Model Fingerprinting Attacks Against Transfer Learning. CoRR Yufei Chen, Chao Shen, Cong Wang, Yang Zhang
2021	A*	`conf`	When Machine Unlearning Jeopardizes Privacy. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2021	Misc	`conf`	t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	"Go eat a bat, Chang!": An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. CoRR Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou
2020	J	`jnl`	BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. CoRR Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang
2020	J	`jnl`	BadNL: Backdoor Attacks Against NLP Models. CoRR Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang
2020	J	`jnl`	Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks. CoRR Ahmed Salem, Michael Backes, Yang Zhang
2020	J	`jnl`	Dynamic Backdoor Attacks Against Machine Learning Models. CoRR Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
2020	J	`jnl`	Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. CoRR Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang
2020	A	`conf`	FineLock: automatically refactoring coarse-grained locks into fine-grained locks. ISSTA Yang Zhang, Shuai Shao, Juan Zhai, Shiqing Ma
2020	A*	`conf`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2020	A*	`conf`	LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction. CCS Rui Wen, Yu Yu, Xiang Xie, Yang Zhang
2020	J	`jnl`	Label-Leaks: Membership Inference Attack with Label. CoRR Zheng Li, Yang Zhang
2020	A	`conf`	Membership Inference Against DNA Methylation Databases. EuroS&P Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang
2020	—	`conf`	NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) Zhiqiang Zhong, Yang Zhang, Jun Pang
2020	J	`jnl`	PrivSyn: Differentially Private Data Synthesis. CoRR Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2020	J	`jnl`	Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. CoRR Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang
2020	J	`jnl`	Stealing Links from Graph Neural Networks. CoRR Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2020	A*	`conf`	Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. ASE Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang
2020	A*	`conf`	Towards Plausible Graph Anonymization. NDSS Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
2020	A*	`conf`	Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang
2020	J	`jnl`	When Machine Unlearning Jeopardizes Privacy. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2019	B	`conf`	A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE Zhiqiang Zhong, Yang Zhang, Jun Pang
2019	J	`jnl`	An active learning-based approach for location-aware acquaintance inference. Knowl. Inf. Syst. Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang
2019	J	`jnl`	Analyzing Recurrent Neural Network by Probabilistic Abstraction. CoRR Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong
2019	A*	`conf`	Fairwalk: Towards Fair Graph Embedding. IJCAI Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang
2019	A*	`conf`	Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure. ASPLOS Xiantao Zhang, Xiao Zheng, Zhi Wang, Qi Li, Junkang Fu, Yang Zhang, Yibin Shen
2019	J	`jnl`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2019	A	`conf`	How to prove your model belongs to you: a blind-watermark based framework to protect intellectual property of DNN. ACSAC Zheng Li, Chengyu Hu, Yang Zhang, Shanqing Guo
2019	A*	`conf`	Language in Our Time: An Empirical Analysis of Hashtags. WWW Yang Zhang
2019	J	`jnl`	Language in Our Time: An Empirical Analysis of Hashtags. CoRR Yang Zhang
2019	A*	`conf`	MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. NDSS Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, Xiaofeng Wang, Michael Backes
2019	A*	`conf`	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes
2019	A*	`conf`	MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
2019	J	`jnl`	MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
2019	J	`jnl`	Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang
2019	J	`jnl`	t-k-means: A k-means Variant with Robustness and Stability. CoRR Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia
2018	A	`conf`	Dissecting Privacy Risks in Biomedical Data. EuroS&P Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes
2018	J	`jnl`	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes
2018	J	`jnl`	MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz
2018	Misc	`conf`	Self -Paced Mixture of T Distribution Model. ICASSP Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
2018	A*	`conf`	Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
2018	J	`jnl`	Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
2018	A	`conf`	You Are Where You App: An Assessment on Location Privacy of Social Applications. ISSRE Fanghua Zhao, Linan Gao, Yang Zhang, Zeyu Wang, Bo Wang, Shanqing Guo
2017	J	`jnl`	CTRL+Z: Recovering Anonymized Social Graphs. CoRR Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
2017	A	`conf`	DeepCity: A Feature Learning Framework for Mining Location Check-Ins. ICWSM Jun Pang, Yang Zhang
2017	B	`conf`	Does #like4like indeed provoke more likes? WI Yang Zhang, Minyue Ni, Weili Han, Jun Pang
2017	—	`conf`	Quantifying Location Sociality. HT Jun Pang, Yang Zhang
2017	A	`conf`	Semantic Annotation for Places in LBSN through Graph Embedding. CIKM Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Jin Xin
2017	A*	`conf`	walk2friends: Inferring Social Links from Mobility Profiles. CCS Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang
2017	J	`jnl`	walk2friends: Inferring Social Links from Mobility Profiles. CoRR Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang
2016	C	`conf`	An Empirical Study on User Access Control in Online Social Networks. SACMAT Minyue Ni, Yang Zhang, Weili Han, Jun Pang
2016	J	`jnl`	DeepCity: A Feature Learning Framework for Mining Location Check-ins. CoRR Jun Pang, Yang Zhang
2016	—	`conf`	Modeling City Locations as Complex Networks: An initial study. COMPLEX NETWORKS Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li
2016	—	`conf`	On Impact of Weather on Human Mobility in Cities. WISE (2) Jun Pang, Polina Zablotskaia, Yang Zhang
2016	J	`jnl`	Quantifying Location Sociality. CoRR Jun Pang, Yang Zhang
2015	C	`conf`	A Logical Approach to Restricting Access in Online Social Networks. SACMAT Marcos Cramer, Jun Pang, Yang Zhang
2015	J	`jnl`	A new access control scheme for Facebook-style social networks. Comput. Secur. Jun Pang, Yang Zhang
2015	B	`conf`	Community-Driven Social Influence Analysis and Applications. ICWE Yang Zhang, Jun Pang
2015	B	`conf`	Cryptographic Protocols for Enforcing Relationship-Based Access Control Policies. COMPSAC Jun Pang, Yang Zhang
2015	C	`conf`	Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks. APWeb Yang Zhang, Jun Pang
2015	B	`conf`	Event Prediction with Community Leaders. ARES Jun Pang, Yang Zhang
2015	—	`conf`	Exploring Communities for Effective Location Prediction. WWW (Companion Volume) Jun Pang, Yang Zhang
2015	B	`conf`	Inferring Friendship from Check-in Data of Location-Based Social Networks. ASONAM Ran Cheng, Jun Pang, Yang Zhang
2015	—	`conf`	Location Prediction: Communities Speak Louder than Friends. COSN Jun Pang, Yang Zhang
2014	B	`conf`	A New Access Control Scheme for Facebook-Style Social Networks. ARES Jun Pang, Yang Zhang
2014	J	`jnl`	Location Prediction: Communities Speak Louder than Friends. CoRR Jun Pang, Yang Zhang
2013	J	`jnl`	A New Access Control Scheme for Facebook-style Social Networks CoRR Jun Pang, Yang Zhang
2013	—	`conf`	Twisted edwards-form elliptic curve cryptography for 8-bit AVR-based sensor nodes. AsiaPKC@AsiaCCS Dalin Chu, Johann Großschädl, Zhe Liu, Volker Müller, Yang Zhang