Publications

Publications by JASPR members and affiliates. Names of JASPR members are bolded.

2026

Identifying Provenance of Generative Text-to-Image Models
Anna Yoo Jeong Ha, Wenxin Ding, Stanley Wu, Shawn Shan, Haitao Zheng, Ben Y. Zhao
USENIX Security Symposium, 2026

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, Ben Y. Zhao
ACM CCS, 2025
PDF
Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers
Enze Liu, Elisa Luo, Shawn Shan, Geoffrey M. Voelker, Ben Y. Zhao, Stefan Savage
ACM IMC, 2025
PDF

Understanding Implosion in Text-to-Image Generative Models
Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng
ACM CCS, 2024
PDF
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, Ben Y. Zhao
ACM CCS, 2024
Distinguished Paper Award
PDF
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
IEEE S&P (Oakland), 2024
PDF Code Project

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
USENIX Security Symposium, 2023
Internet Defense Award Distinguished Paper Award
PDF Project
SoK: Anti-Facial Recognition Technology
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
IEEE S&P (Oakland), 2023
PDF

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
ACM CCS, 2022
PDF Code Project
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
USENIX Security Symposium, 2022
PDF Code Project
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
USENIX Security Symposium, 2022
PDF Code Project

Deep Entity Classification: Abusive Account Detection for Online Social Networks
Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce
USENIX Security Symposium, 2021
PDF
Patch-based Defenses against Web Fingerprinting Attacks
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
ACM AISec Workshop, 2021
PDF

Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
ACM CCS, 2020
PDF Code
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
USENIX Security Symposium, 2020
PDF Code Project

Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
IEEE S&P (Oakland), 2019
PDF Code
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
ACM CCS, 2019
PDF

Penny Auctions are Predictable: Predicting and profiling user behavior on DealDash
Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng, Ben Y. Zhao
ACM Hypertext (HT), 2018
PDF
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
ACM CHI, 2018
PDF