Shawn Shan

34 papers A* 15A 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling.
CCS
Stanley Wu, Ronik Bhaskar, Anna Yoo Jeong Ha, Shawn Shan, Haitao Zheng, Ben Y. Zhao
2025 J jnl
On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling.
CoRR
Stanley Wu, Ronik Bhaskar, Anna Yoo Jeong Ha, Shawn Shan, Haitao Zheng, Ben Y. Zhao
2025 A conf
Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers.
IMC
Enze Liu, Elisa Luo, Shawn Shan, Geoffrey M. Voelker, Ben Y. Zhao, Stefan Savage
2024 J jnl
Disrupting Style Mimicry Attacks on Video Imagery.
CoRR
Josephine Passananti, Stanley Wu, Shawn Shan, Haitao Zheng, Ben Y. Zhao
2024 A* conf
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
SP
Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao
2024 A* conf
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
CCS
Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao
2024 J jnl
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
CoRR
Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao
2024 J jnl
Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers.
CoRR
Enze Liu, Elisa Luo, Shawn Shan, Geoffrey M. Voelker, Ben Y. Zhao, Stefan Savage
2024 A* conf
Understanding Implosion in Text-to-Image Generative Models.
CCS
Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng
2024 J jnl
Understanding Implosion in Text-to-Image Generative Models.
CoRR
Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng
2023 J jnl
A Response to Glaze Purification via IMPRESS.
CoRR
Shawn Shan, Stanley Wu, Haitao Zheng, Ben Y. Zhao
2023 J jnl
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models.
CoRR
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
2023 A* conf
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.
USENIX Security Symposium
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
2023 J jnl
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
CoRR
Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
2023 A* conf
SoK: Anti-Facial Recognition Technology.
SP
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
2022 A* conf
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks.
USENIX Security Symposium
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
2022 A* conf
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks.
USENIX Security Symposium
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
2022 A* conf
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.
CCS
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
2022 J jnl
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.
CoRR
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
2021 J jnl
A Real-time Defense against Website Fingerprinting Attacks.
CoRR
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
2021 A* conf
Deep Entity Classification: Abusive Account Detection for Online Social Networks.
USENIX Security Symposium
Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce
2021 — conf
Patch-based Defenses against Web Fingerprinting Attacks.
AISec@CCS
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
2021 J jnl
SoK: Anti-Facial Recognition Technology.
CoRR
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
2021 J jnl
Traceback of Data Poisoning Attacks in Neural Networks.
CoRR
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
2021 — conf
Using Honeypots to Catch Adversarial Attacks on Neural Networks.
MTD@CCS
Shawn Shan
2020 J jnl
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks.
CoRR
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
2020 J jnl
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models.
CoRR
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
2020 A* conf
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models.
USENIX Security Symposium
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
2020 A* conf
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks.
CCS
Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
2019 J jnl
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.
CoRR
Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
2019 A* conf
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
IEEE Symposium on Security and Privacy
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
2019 A* conf
Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing.
CCS
Ben Weinshel, Miranda Wei, Mainack Mondal, Euirim Choi, Shawn Shan, Claire Dolin, Michelle L. Mazurek, Blase Ur
2018 — conf
Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash.
HT
Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng, Ben Y. Zhao
2018 A* conf
Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization.
CHI
Claire Dolin, Ben Weinshel, Shawn Shan, Chang Min Hahn, Euirim Choi, Michelle L. Mazurek, Blase Ur