Shawn Shan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Facial Recognition

Countermeasures

Top Venues

USENIX Security Symposium

IEEE Symposium on Security and Privacy

Publications

Josephine Passananti, Stanley Wu, Shawn Shan, Haitao Zheng, Ben Y. Zhao
Disrupting Style Mimicry Attacks on Video Imagery. CoRR (2024)
Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images? CoRR (2024)
Shawn Shan, Stanley Wu, Haitao Zheng, Ben Y. Zhao
A Response to Glaze Purification via IMPRESS. CoRR (2023)
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models. USENIX Security Symposium (2023)
Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. CoRR (2023)
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models. CoRR (2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
SoK: Anti-Facial Recognition Technology. SP (2023)
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. CoRR (2022)
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks. USENIX Security Symposium (2022)
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. CCS (2022)
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks. USENIX Security Symposium (2022)
Shawn Shan
Using Honeypots to Catch Adversarial Attacks on Neural Networks. MTD@CCS (2021)
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
Patch-based Defenses against Web Fingerprinting Attacks. AISec@CCS (2021)
Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce
Deep Entity Classification: Abusive Account Detection for Online Social Networks. USENIX Security Symposium (2021)
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
Traceback of Data Poisoning Attacks in Neural Networks. CoRR (2021)
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
A Real-time Defense against Website Fingerprinting Attacks. CoRR (2021)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
SoK: Anti-Facial Recognition Technology. CoRR (2021)
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks. CoRR (2020)
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. CoRR (2020)
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models. USENIX Security Symposium (2020)
Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks. CCS (2020)
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks. IEEE Symposium on Security and Privacy (2019)
Ben Weinshel, Miranda Wei, Mainack Mondal, Euirim Choi, Shawn Shan, Claire Dolin, Michelle L. Mazurek, Blase Ur
Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing. CCS (2019)
Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks. CoRR (2019)
Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng, Ben Y. Zhao
Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash. HT (2018)
Claire Dolin, Ben Weinshel, Shawn Shan, Chang Min Hahn, Euirim Choi, Michelle L. Mazurek, Blase Ur
Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization. CHI (2018)