Rui Wen

According to our database, Rui Wen authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?

Rui Wen, Michael Backes, Yang Zhang

CoRR, 2024

Membership Inference Attacks Against In-Context Learning.

Rui Wen, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2024

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.

Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

CoRR, 2024

Efficient Data-Free Model Stealing with Label Diversity.

Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang

CoRR, 2024

Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization.

Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2024

Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.

Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Instruction Backdoor Attacks Against Customized LLMs.

Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Quantifying Privacy Risks of Prompts in Visual Prompt Learning.

Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming.

Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023

Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning.

Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem

CoRR, 2023

Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?

Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Dynamic Backdoor Attacks Against Machine Learning Models.

Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Node-Level Membership Inference Attacks Against Graph Neural Networks.

Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2021

2020

LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction.

Rui Wen, Yu Yu, Xiang Xie, Yang Zhang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020