Zheng Li - RankMe

61 papers A* 14A 2B 1Misc 1Journal 40Unranked 3

Year	Rank	Type	Title / Venue / Authors
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`	Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs. CoRR Wenyu Chen, Xiangtao Meng, Chuanchao Zang, Li Wang, Xinyu Gao, Jianing Wang, Peng Zhan, Zheng Li, Shanqing Guo
2026	J	`jnl`	VidLeaks: Membership Inference Attacks Against Text-to-Video Models. CoRR Li Wang, Wenyu Chen, Ning Yu, Zheng Li, Shanqing Guo
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`	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	J	`jnl`	BudgetLeak: Membership Inference Attacks on RAG Systems via the Generation Budget Side Channel. CoRR Hao Li, Jiajun He, Guangshuo Wang, Dengguo Feng, Zheng Li, Min Zhang
2025	J	`jnl`	DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation. CoRR Xinyu Gao, Xiangtao Meng, Yingkai Dong, Zheng Li, Shanqing Guo
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`	FDINet: Protecting Against DNN Model Extraction Using Feature Distortion Index. IEEE Trans. Dependable Secur. Comput. Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Zhan Qin, Kui Ren
2025	J	`jnl`	FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation. CoRR Li Wang, Zheng Li, Xuhong Zhang, Shouling Ji, Shanqing Guo
2025	J	`jnl`	FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models. CoRR Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang
2025	J	`jnl`	From Defender to Devil? Unintended Risk Interactions Induced by LLM Defenses. CoRR Xiangtao Meng, Tianshuo Cong, Li Wang, Wenyu Chen, Zheng Li, Shanqing Guo, Xiaoyun Wang
2025	A*	`conf`	Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-to-Image Generation Models. SP Yingkai Dong, Xiangtao Meng, Ning Yu, Zheng Li, Shanqing Guo
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	J	`jnl`	PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment. CoRR Li Wang, Wenyu Chen, Zheng Li, Shanqing Guo
2025	J	`jnl`	Safe Driving Adversarial Trajectory Can Mislead: Toward More Stealthy Adversarial Attack Against Autonomous Driving Prediction Module. ACM Trans. Priv. Secur. Yingkai Dong, Li Wang, Zheng Li, Hao Li, Peng Tang, Chengyu Hu, Shanqing Guo
2025	J	`jnl`	Safe-Control: A Safety Patch for Mitigating Unsafe Content in Text-to-Image Generation Models. CoRR Xiangtao Meng, Yingkai Dong, Ning Yu, Li Wang, Zheng Li, Shanqing Guo
2025	J	`jnl`	Trajectory-user linking via supervised encoding. Secur. Saf. Chengrui Hu, Zheng Li, Siyuan Wu, Bowen Shu, Min Zhang, Hao Li
2025	J	`jnl`	Watermarking LLM-Generated Datasets in Downstream Tasks. CoRR Yugeng Liu, Tianshuo Cong, Michael Backes, Zheng Li, Yang Zhang
2024	A*	`conf`	BadMerging: Backdoor Attacks Against Model Merging. CCS Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
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	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	J	`jnl`	Jailbreaking Text-to-Image Models with LLM-Based Agents. CoRR Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo
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	B	`conf`	PRJack: Pruning-Resistant Model Hijacking Attack Against Deep Learning Models. IJCNN Ge Han, Zheng Li, Shanqing Guo
2024	J	`jnl`	RemovalNet: DNN Fingerprint Removal Attacks. IEEE Trans. Dependable Secur. Comput. Hongwei Yao, Zheng Li, Kunzhe Huang, Jian Lou, Zhan Qin, Kui Ren
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
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`	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`	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	J	`jnl`	FDINet: Protecting against DNN Model Extraction via Feature Distortion Index. CoRR Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Kui Ren, Zhan Qin
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	—	`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	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	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	J	`jnl`	Watermarking Diffusion Model. CoRR Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, 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`	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	—	`conf`	FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks. HPCC/DSS/SmartCity/DependSys Ge Han, Zheng Li, Peng Tang, Chengyu Hu, Shanqing Guo
2022	J	`jnl`	Membership Inference Attacks Against Text-to-image Generation Models. CoRR Yixin Wu, Ning Yu, Zheng Li, 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	J	`jnl`	UnGANable: Defending Against GAN-based Face Manipulation. CoRR Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
2021	A*	`conf`	Membership Leakage in Label-Only Exposures. CCS Zheng Li, Yang Zhang
2020	J	`jnl`	Label-Leaks: Membership Inference Attack with Label. CoRR Zheng Li, Yang Zhang
2019	—	`conf`	DeepKeyStego: Protecting Communication by Key-Dependent Steganography with Deep Networks. HPCC/SmartCity/DSS Zheng Li, Ge Han, Shanqing Guo, Chengyu Hu
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