Rui Wen

According to our database, Rui Wen authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs.

Rui Wen, Mark Russinovich, Andrew Paverd, Jun Sakuma, Ahmed Salem

CoRR, May, 2026

Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills.

Yiyong Liu, Chia-Yi Hsu, Chun-Ying Huang, Michael Backes, Rui Wen, Chia-Mu Yu

CoRR, May, 2026

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning.

Ziqing Yang, Rui Wen, Xinlei He, Yun Shen, Michael Backes, Yang Zhang

IEEE Trans. Inf. Forensics Secur., 2026

SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability.

Hanwei Zhang, Luo Cheng, Rui Wen, Yang Zhang, Lijun Zhang, Holger Hermanns

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents.

Yixin Wu, Rui Wen, Chi Cui, Michael Backes, Yang Zhang

CoRR, November, 2025

Peering Behind the Shield: Guardrail Identification in Large Language Models.

Ziqing Yang, Yixin Wu, Rui Wen, Michael Backes, Yang Zhang

CoRR, February, 2025

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark.

Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang

Proceedings of the 34th USENIX Security Symposium, 2025

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

Rui Wen, Michael Backes, Yang Zhang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

(Un)Trustworthy data in adversarial machine learning.

Rui Wen

PhD thesis, 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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Membership Inference Attacks Against In-Context Learning.

Rui Wen, Zheng Li, Michael Backes, Yang Zhang

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