Shawn Shan

According to our database, Shawn Shan authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disrupting Style Mimicry Attacks on Video Imagery.

Josephine Passananti, Stanley Wu, Shawn Shan, Haitao Zheng, Ben Y. Zhao

CoRR, 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, Ben Y. Zhao

CoRR, 2024

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao

Proceedings of the IEEE Symposium on Security and Privacy, 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, Hai-Tao Zheng, Ben Y. Zhao

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Understanding Implosion in Text-to-Image Generative Models.

Wenxin Ding, Cathy Y. Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

A Response to Glaze Purification via IMPRESS.

Shawn Shan, Stanley Wu, Haitao Zheng, Ben Y. Zhao

CoRR, 2023

Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao

CoRR, 2023

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.

Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao

Proceedings of the 32nd USENIX Security Symposium, 2023

SoK: Anti-Facial Recognition Technology.

Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks.

Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao

Proceedings of the 31st USENIX Security Symposium, 2022

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

Proceedings of the 31st USENIX Security Symposium, 2022

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.

Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Traceback of Data Poisoning Attacks in Neural Networks.

Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao

CoRR, 2021

A Real-time Defense against Website Fingerprinting Attacks.

Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao

CoRR, 2021

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

Proceedings of the 30th USENIX Security Symposium, 2021

Patch-based Defenses against Web Fingerprinting Attacks.

Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Using Honeypots to Catch Adversarial Attacks on Neural Networks.

Shawn Shan

Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

2020

Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks.

Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao

CoRR, 2020

Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models.

Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao

CoRR, 2020

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models.

Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao

Proceedings of the 29th USENIX Security Symposium, 2020

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

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.

Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao

CoRR, 2019

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

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

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

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash.

Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng, Ben Y. Zhao

Proceedings of the 29th on Hypertext and Social Media, 2018

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

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018