Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization. - Claire Dolin; Ben Weinshel; Shawn Shan; Chang Min Hahn; Euirim Choi; Michelle L. Mazurek; Blase Ur (CHI, 2018)

Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash. - Xinyi Zhang 003; Shawn Shan; Shiliang Tang; Haitao Zheng 001; Ben Y. Zhao (HT, 2018)

Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing. - Ben Weinshel; Miranda Wei; Mainack Mondal; Euirim Choi; Shawn Shan; Claire Dolin; Michelle L. Mazurek; Blase Ur (CCS, 2019)

Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks. - Bolun Wang; Yuanshun Yao; Shawn Shan; Huiying Li 001; Bimal Viswanath; Haitao Zheng 001; Ben Y. Zhao (IEEE Symposium on Security and Privacy, 2019)

Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks. - Shawn Shan; Emily Willson; Bolun Wang; Bo Li 026; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2019)

Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks. - Shawn Shan; Emily Wenger; Bolun Wang; Bo Li 026; Haitao Zheng 001; Ben Y. Zhao (CCS, 2020)

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models. - Shawn Shan; Emily Wenger; Jiayun Zhang; Huiying Li 001; Haitao Zheng 001; Ben Y. Zhao (USENIX Security Symposium, 2020)

Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. - Shawn Shan; Emily Wenger; Jiayun Zhang; Huiying Li 001; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2020)

Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks. - Huiying Li 001; Shawn Shan; Emily Wenger; Jiayun Zhang; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2020)

Using Honeypots to Catch Adversarial Attacks on Neural Networks. - Shawn Shan (MTD@CCS, 2021)

Patch-based Defenses against Web Fingerprinting Attacks. - Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng 001; Ben Y. Zhao (AISec@CCS, 2021)

Deep Entity Classification: Abusive Account Detection for Online Social Networks. - Teng Xu 009; Gerard Goossen; Huseyin Kerem Cevahir; Sara Khodeir; Yingyezhe Jin; Frank Li 001; Shawn Shan; Sagar Patel; David Freeman 001; Paul Pearce (USENIX Security Symposium, 2021)

A Real-time Defense against Website Fingerprinting Attacks. - Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2021)

Traceback of Data Poisoning Attacks in Neural Networks. - Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2021)

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. - Shawn Shan; Wenxin Ding; Emily Wenger; Haitao Zheng 001; Ben Y. Zhao (CCS, 2022)

Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks. - Huiying Li 001; Shawn Shan; Emily Wenger; Jiayun Zhang; Haitao Zheng 001; Ben Y. Zhao (USENIX Security Symposium, 2022)

Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks. - Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng 001; Ben Y. Zhao (USENIX Security Symposium, 2022)

SoK: Anti-Facial Recognition Technology. - Emily Wenger; Shawn Shan; Haitao Zheng 001; Ben Y. Zhao (SP, 2023)

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models. - Shawn Shan; Jenna Cryan; Emily Wenger; Haitao Zheng 001; Rana Hanocka; Ben Y. Zhao (USENIX Security Symposium, 2023)

Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. - Shawn Shan; Wenxin Ding; Josephine Passananti; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2023)

A Response to Glaze Purification via IMPRESS. - Shawn Shan; Stanley Wu; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2023)

Understanding Implosion in Text-to-Image Generative Models. - Wenxin Ding; Cathy Y. Li; Shawn Shan; Ben Y. Zhao; Hai-Tao Zheng 002 (CCS, 2024)

Organic or Diffused: Can We Distinguish Human Art from AI-generated Images? - Anna Yoo Jeong Ha; Josephine Passananti; Ronik Bhaskar; Shawn Shan; Reid Southen; Haitao Zheng 001; Ben Y. Zhao (CCS, 2024)

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. - Shawn Shan; Wenxin Ding; Josephine Passananti; Stanley Wu; Haitao Zheng 001; Ben Y. Zhao (SP, 2024)

Disrupting Style Mimicry Attacks on Video Imagery. - Josephine Passananti; Stanley Wu; Shawn Shan; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2024)

Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers. - Enze Liu 001; Elisa Luo; Shawn Shan; Geoffrey M. Voelker; Ben Y. Zhao; Stefan Savage (CoRR, 2024)

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling. - Stanley Wu; Ronik Bhaskar; Anna Yoo Jeong Ha; Shawn Shan; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2025)