Jie Zhang

According to our database, Jie Zhang authored at least 12 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics.

Jie Zhang, Cezara Petrui, Kristina Nikolic, Florian Tramèr

CoRR, May, 2025

The Jailbreak Tax: How Useful are Your Jailbreak Outputs?

Kristina Nikolic, Luze Sun, Jie Zhang, Florian Tramèr

CoRR, April, 2025

Adversarial ML Problems Are Getting Harder to Solve and to Evaluate.

Javier Rando, Jie Zhang, Nicholas Carlini, Florian Tramèr

CoRR, February, 2025

Membership Inference Attacks on Sequence Models.

Lorenzo Rossi, Michael Aerni, Jie Zhang, Florian Tramèr

Proceedings of the 2025 IEEE Security and Privacy, 2025

Position: Membership Inference Attacks Cannot Prove That a Model was Trained on Your Data.

Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Gradient Masking All-at-Once: Ensemble Everything Everywhere Is Not Robust.

Jie Zhang, Kristina Nikolic, Nicholas Carlini, Florian Tramèr

CoRR, 2024

Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data.

Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr

CoRR, 2024

Blind Baselines Beat Membership Inference Attacks for Foundation Models.

Debeshee Das, Jie Zhang, Florian Tramèr

CoRR, 2024

AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.

Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr

CoRR, 2024

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.

Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sampling to Distill: Knowledge Transfer from Open-World Data.

Yuzheng Wang, Zhaoyu Chen, Jie Zhang, Dingkang Yang, Zuhao Ge, Yang Liu, Siao Liu, Yunquan Sun, Wenqiang Zhang, Lizhe Qi

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Evaluations of Machine Learning Privacy Defenses are Misleading.

Michael Aerni, Jie Zhang, Florian Tramèr

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