Jie Zhang - RankMe

18 papers A* 4Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Inject: Automated Prompt Injection via Reinforcement Learning. CoRR Xin Chen, Jie Zhang, Florian Tramèr
2025	J	`jnl`	Adversarial ML Problems Are Getting Harder to Solve and to Evaluate. CoRR Javier Rando, Jie Zhang, Nicholas Carlini, Florian Tramèr
2025	J	`jnl`	Black-box Optimization of LLM Outputs by Asking for Directions. CoRR Jie Zhang, Meng Ding, Yang Liu, Jue Hong, Florian Tramèr
2025	—	`conf`	Membership Inference Attacks on Sequence Models. SP (Workshops) Lorenzo Rossi, Michael Aerni, Jie Zhang, Florian Tramèr
2025	J	`jnl`	Membership Inference Attacks on Sequence Models. CoRR Lorenzo Rossi, Michael Aerni, Jie Zhang, Florian Tramèr
2025	—	`conf`	Position: Membership Inference Attacks Cannot Prove That a Model was Trained on Your Data. SaTML Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr
2025	J	`jnl`	RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics. CoRR Jie Zhang, Cezara Petrui, Kristina Nikolic, Florian Tramèr
2025	A*	`conf`	The Jailbreak Tax: How Useful are Your Jailbreak Outputs? ICML Kristina Nikolic, Luze Sun, Jie Zhang, Florian Tramèr
2025	J	`jnl`	The Jailbreak Tax: How Useful are Your Jailbreak Outputs? CoRR Kristina Nikolic, Luze Sun, Jie Zhang, Florian Tramèr
2024	J	`jnl`	AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents. CoRR Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr
2024	A*	`conf`	AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. NeurIPS Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr
2024	J	`jnl`	Blind Baselines Beat Membership Inference Attacks for Foundation Models. CoRR Debeshee Das, Jie Zhang, Florian Tramèr
2024	A*	`conf`	Evaluations of Machine Learning Privacy Defenses are Misleading. CCS Michael Aerni, Jie Zhang, Florian Tramèr
2024	J	`jnl`	Evaluations of Machine Learning Privacy Defenses are Misleading. CoRR Michael Aerni, Jie Zhang, Florian Tramèr
2024	J	`jnl`	Gradient Masking All-at-Once: Ensemble Everything Everywhere Is Not Robust. CoRR Jie Zhang, Kristina Nikolic, Nicholas Carlini, Florian Tramèr
2024	J	`jnl`	Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data. CoRR Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr
2024	A*	`conf`	Sampling to Distill: Knowledge Transfer from Open-World Data. ACM Multimedia Yuzheng Wang, Zhaoyu Chen, Jie Zhang, Dingkang Yang, Zuhao Ge, Yang Liu, Siao Liu, Yunquan Sun, Wenqiang Zhang, Lizhe Qi
2023	J	`jnl`	Sampling to Distill: Knowledge Transfer from Open-World Data. CoRR Yuzheng Wang, Zhaoyu Chen, Jie Zhang, Dingkang Yang, Zuhao Ge, Yang Liu, Siao Liu, Yunquan Sun, Wenqiang Zhang, Lizhe Qi