Rui Wen - RankMe

26 papers A* 9A 3Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents. CoRR Yixin Wu, Rui Wen, Chi Cui, Michael Backes, Yang Zhang
2025	J	`jnl`	Peering Behind the Shield: Guardrail Identification in Large Language Models. CoRR Ziqing Yang, Yixin Wu, Rui Wen, Michael Backes, Yang Zhang
2025	A*	`conf`	SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark. USENIX Security Symposium Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang
2025	J	`jnl`	SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark. CoRR Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang
2025	A*	`conf`	Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? NDSS Rui Wen, Michael Backes, Yang Zhang
2024	A*	`conf`	Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. NeurIPS 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
2024	J	`jnl`	Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR 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
2024	J	`jnl`	Efficient Data-Free Model Stealing with Label Diversity. CoRR Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang
2024	A	`conf`	Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming. ICWSM Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang
2024	A	`conf`	Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. WACV Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2024	A*	`conf`	Instruction Backdoor Attacks Against Customized LLMs. USENIX Security Symposium Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, 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`	Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
2024	J	`jnl`	Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization. CoRR Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang
2024	J	`jnl`	Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? CoRR Rui Wen, Michael Backes, Yang Zhang
2023	J	`jnl`	Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. CoRR Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
2023	A*	`conf`	Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
2023	J	`jnl`	Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning. CoRR Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem
2023	J	`jnl`	Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
2022	A	`conf`	Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
2022	A*	`conf`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2021	J	`jnl`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2021	J	`jnl`	Node-Level Membership Inference Attacks Against Graph Neural Networks. CoRR Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang
2020	J	`jnl`	Dynamic Backdoor Attacks Against Machine Learning Models. CoRR Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
2020	A*	`conf`	LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction. CCS Rui Wen, Yu Yu, Xiang Xie, Yang Zhang