Yang Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 140

Top Venues

CoRR

CCS

USENIX Security Symposium

NDSS

Publications

Wai Man Si, Michael Backes, Yang Zhang
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization. CoRR (2024)
Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. CoRR (2024)
Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
FAKEPCD: Fake Point Cloud Detection via Source Attribution. AsiaCCS (2024)
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. WACV (2024)
Yiting Qu, Xinyue Shen, Yixin Wu, Michael Backes, Savvas Zannettou, Yang Zhang
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images. CoRR (2024)
Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem
SOS! Soft Prompt Attack Against Open-Source Large Language Models. CoRR (2024)
Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang
Efficient Data-Free Model Stealing with Label Diversity. CoRR (2024)
Ge Han, Ahmed Salem, Zheng Li, Shanqing Guo, Michael Backes, Yang Zhang
Detection and Attribution of Models Trained on Generated Data. ICASSP (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang
Prompt Stealing Attacks Against Text-to-Image Generation Models. USENIX Security Symposium (2024)
Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang
Comprehensive Assessment of Jailbreak Attacks Against LLMs. CoRR (2024)
Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium (2024)
Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang
Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming. ICWSM (2024)
Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang
Towards Understanding Unsafe Video Generation. CoRR (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR (2024)
Xinyue Shen, Yixin Wu, Michael Backes, Yang Zhang
Voice Jailbreak Attacks Against GPT-4o. CoRR (2024)
Yan Pang, Yang Zhang, Tianhao Wang
VGMShield: Mitigating Misuse of Video Generative Models. CoRR (2024)
Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium (2024)
Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang
Instruction Backdoor Attacks Against Customized LLMs. USENIX Security Symposium (2024)
Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR (2023)
Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou
On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. SP (2023)
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Prompt Backdoors in Visual Prompt Learning. CoRR (2023)
Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
Backdoor Attacks Against Dataset Distillation. CoRR (2023)
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. CoRR (2023)
Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. ACL (1) (2023)
Bartlomiej Surma, Tahleen A. Rahman, Monique M. B. Breteler, Michael Backes, Yang Zhang
You Are How You Walk: Quantifying Privacy Risks in Step Count Data. CoRR (2023)
Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
White-box Membership Inference Attacks against Diffusion Models. CoRR (2023)
Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR (2023)
Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. CoRR (2023)
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium (2023)
Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium (2023)
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
Generated Graph Detection. CoRR (2023)
Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. USENIX Security Symposium (2023)
Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. CoRR (2023)
Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models. CCS (2023)
Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang
You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content. CoRR (2023)
Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR (2023)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium (2023)
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Composite Backdoor Attacks Against Large Language Models. CoRR (2023)
Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR (2023)
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CVPR (2023)
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
Generated Graph Detection. ICML (2023)
Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
Backdoor Attacks Against Dataset Distillation. NDSS (2023)
Ziqing Yang, Zeyang Sha, Michael Backes, Yang Zhang
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need. CoRR (2023)
Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning. CoRR (2023)
Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
Two-in-One: A Model Hijacking Attack Against Text Generation Models. USENIX Security Symposium (2023)
Boyang Zhang, Xinyue Shen, Wai Man Si, Zeyang Sha, Zeyuan Chen, Ahmed Salem, Yun Shen, Michael Backes, Yang Zhang
Comprehensive Assessment of Toxicity in ChatGPT. CoRR (2023)
Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
Watermarking Diffusion Model. CoRR (2023)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P (2022)
Yufei Chen, Chao Shen, Cong Wang, Yang Zhang
Teacher Model Fingerprinting Attacks Against Transfer Learning. USENIX Security Symposium (2022)
Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. CoRR (2022)
Tianshuo Cong, Xinlei He, Yang Zhang
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. CCS (2022)
Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang
Membership Inference Attacks by Exploiting Loss Trajectory. CCS (2022)
Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang
On Xing Tian and the Perseverance of Anti-China Sentiment Online. CoRR (2022)
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
Membership Inference Attacks Against Text-to-image Generation Models. CoRR (2022)
Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang
Property Inference Attacks Against GANs. NDSS (2022)
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
Inference Attacks Against Graph Neural Networks. USENIX Security Symposium (2022)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium (2022)
Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CoRR (2022)
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
On the Privacy Risks of Cell-Based NAS Architectures. CCS (2022)
Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang
Membership Inference Attacks by Exploiting Loss Trajectory. CoRR (2022)
Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang
Backdoor Attacks in the Supply Chain of Masked Image Modeling. CoRR (2022)
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
Finding MNEMON: Reviving Memories of Node Embeddings. CoRR (2022)
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Auditing Membership Leakages of Multi-Exit Networks. CCS (2022)
Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR (2022)
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang
Data Poisoning Attacks Against Multimodal Encoders. CoRR (2022)
Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang
Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CCS (2022)
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR (2022)
Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang
Amplifying Membership Exposure via Data Poisoning. NeurIPS (2022)
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
Finding MNEMON: Reviving Memories of Node Embeddings. CCS (2022)
Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang
On Xing Tian and the Perseverance of Anti-China Sentiment Online. ICWSM (2022)
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang
Auditing Membership Leakages of Multi-Exit Networks. CoRR (2022)
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
On the Privacy Risks of Cell-Based NAS Architectures. CoRR (2022)
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) (2022)
Ahmed Salem, Michael Backes, Yang Zhang
Get a Model! Model Hijacking Attack Against Machine Learning Models. NDSS (2022)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CCS (2022)
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
UnGANable: Defending Against GAN-based Face Manipulation. CoRR (2022)
Yun Shen, Xinlei He, Yufei Han, Yang Zhang
Model Stealing Attacks Against Inductive Graph Neural Networks. IEEE Symposium on Security and Privacy (2022)
Zheng Li, Yang Zhang
Membership Leakage in Label-Only Exposures. CCS (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CoRR (2021)
Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang
Node-Level Membership Inference Attacks Against Graph Neural Networks. CoRR (2021)
Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops (2021)
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Stealing Links from Graph Neural Networks. USENIX Security Symposium (2021)
Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang
Membership Inference Attacks Against Recommender Systems. CCS (2021)
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
Inference Attacks Against Graph Neural Networks. CoRR (2021)
Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CCS (2021)
Xinlei He, Yang Zhang
Quantifying and Mitigating Privacy Risks of Contrastive Learning. CoRR (2021)
Xinlei He, Yang Zhang
Quantifying and Mitigating Privacy Risks of Contrastive Learning. CCS (2021)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR (2021)
Yufei Chen, Chao Shen, Cong Wang, Yang Zhang
Teacher Model Fingerprinting Attacks Against Transfer Learning. CoRR (2021)
Ahmed Salem, Michael Backes, Yang Zhang
Get a Model! Model Hijacking Attack Against Machine Learning Models. CoRR (2021)
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC (2021)
Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang
Property Inference Attacks Against GANs. CoRR (2021)
Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. WWW (2021)
Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. CoRR (2020)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. CoRR (2020)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CoRR (2020)
Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS (2020)
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Stealing Links from Graph Neural Networks. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Zhang