Session-Based Webshell Detection Using Machine Learning in Web Logs. - Yixin Wu 001; Yuqiang Sun 001; Cheng Huang 003; Peng Jia 005; Luping Liu (Secur. Commun. Networks, 2019)

GroupTracer: Automatic Attacker TTP Profile Extraction and Group Cluster in Internet of Things. - Yixin Wu 001; Cheng Huang 003; Xing Zhang; Hongyi Zhou (Secur. Commun. Networks, 2020)

Node-Level Membership Inference Attacks Against Graph Neural Networks. - Xinlei He 001; Rui Wen 002; Yixin Wu 001; Michael Backes 001; Yun Shen; Yang Zhang 016 (CoRR, 2021)

WAIN: Automatic Web Application Identification and Naming Method. - Yuqiang Sun 001; Dunhan Li; Yixin Wu 001; Xuelin Wan; Cheng Huang 003 (Internetware, 2022)

Membership Inference Attacks Against Text-to-image Generation Models. - Yixin Wu 001; Ning Yu 006; Zheng Li 023; Michael Backes 001; Yang Zhang 016 (CoRR, 2022)

Vision-language models boost food composition compilation. - Peihua Ma; Yixin Wu 001; Ning Yu 006; Yang Zhang 016; Michael Backes 001; Qin Wang; Cheng-I Wei (CoRR, 2023)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (CoRR, 2023)

Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution. - Yixin Wu 001; Yun Shen; Michael Backes 001; Yang Zhang 016 (CCS, 2024)

The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective. - Yihan Ma 001; Xinyue Shen 001; Yixin Wu 001; Boyang Zhang; Michael Backes 001; Yang Zhang 016 (EMNLP, 2024)

Quantifying Privacy Risks of Prompts in Visual Prompt Learning. - Yixin Wu 001; Rui Wen 002; Michael Backes 001; Pascal Berrang; Mathias Humbert; Yun Shen; Yang Zhang 016 (USENIX Security Symposium, 2024)

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images. - Yiting Qu; Xinyue Shen 001; Yixin Wu 001; Michael Backes 001; Savvas Zannettou; Yang Zhang 016 (CoRR, 2024)

Voice Jailbreak Attacks Against GPT-4o. - Xinyue Shen 001; Yixin Wu 001; Michael Backes 001; Yang Zhang 016 (CoRR, 2024)

Link Stealing Attacks Against Inductive Graph Neural Networks. - Yixin Wu 001; Xinlei He 001; Pascal Berrang; Mathias Humbert; Michael Backes 001; Neil Zhenqiang Gong; Yang Zhang 016 (Proc. Priv. Enhancing Technol., 2024)

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns. - Xinyue Shen 001; Yixin Wu 001; Yiting Qu; Michael Backes 001; Savvas Zannettou; Yang Zhang 016 (Zenodo, 2025)

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns. - Xinyue Shen 001; Yixin Wu 001; Yiting Qu; Michael Backes 001; Savvas Zannettou; Yang Zhang 016 (Zenodo, 2025)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (Zenodo, 2025)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (Zenodo, 2025)

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns. - Xinyue Shen 001; Yixin Wu 001; Yiting Qu; Michael Backes 001; Savvas Zannettou; Yang Zhang 016 (CoRR, 2025)

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications. - Yixin Wu 001; Ziqing Yang 002; Yun Shen; Michael Backes 001; Yang Zhang 016 (CoRR, 2025)

Peering Behind the Shield: Guardrail Identification in Large Language Models. - Ziqing Yang 002; Yixin Wu 001; Rui Wen 002; Michael Backes 001; Yang Zhang 016 (CoRR, 2025)

The Challenge of Identifying the Origin of Black-Box Large Language Models. - Ziqing Yang 002; Yixin Wu 001; Yun Shen; Wei Dai; Michael Backes 001; Yang Zhang 016 (CoRR, 2025)