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2020 – today
- 2024
[c17]Wenxin Ding
, Cathy Y. Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng:
Understanding Implosion in Text-to-Image Generative Models. CCS 2024: 1211-1225- [c16]Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Hai-Tao Zheng, Ben Y. Zhao:
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images? CCS 2024: 4822-4836 - [c15]Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao:
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. SP 2024: 807-825 - [i14]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 abs/2402.03214 (2024) - [i13]Josephine Passananti, Stanley Wu, Shawn Shan, Haitao Zheng, Ben Y. Zhao:
Disrupting Style Mimicry Attacks on Video Imagery. CoRR abs/2405.06865 (2024) - [i12]Wenxin Ding, Cathy Y. Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng:
Understanding Implosion in Text-to-Image Generative Models. CoRR abs/2409.12314 (2024) - [i11]Enze Liu, Elisa Luo, Shawn Shan, Geoffrey M. Voelker, Ben Y. Zhao, Stefan Savage:
Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers. CoRR abs/2411.15091 (2024) - 2023
- [c14]Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao:
SoK: Anti-Facial Recognition Technology. SP 2023: 864-881 - [c13]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: 2187-2204 - [i10]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 abs/2302.04222 (2023) - [i9]Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao:
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. CoRR abs/2310.13828 (2023) - [i8]Shawn Shan, Stanley Wu, Haitao Zheng, Ben Y. Zhao:
A Response to Glaze Purification via IMPRESS. CoRR abs/2312.07731 (2023) - 2022
- [c12]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: 2611-2625 - [c11]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: 2117-2134 - [c10]Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks. USENIX Security Symposium 2022: 3575-3592 - [i7]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 abs/2205.10686 (2022) - 2021
- [c9]Shawn Shan:
Using Honeypots to Catch Adversarial Attacks on Neural Networks. MTD@CCS 2021: 25 - [c8]Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
Patch-based Defenses against Web Fingerprinting Attacks. AISec@CCS 2021: 97-109 - [c7]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: 4097-4114 - [i6]Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
A Real-time Defense against Website Fingerprinting Attacks. CoRR abs/2102.04291 (2021) - [i5]Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
Traceback of Data Poisoning Attacks in Neural Networks. CoRR abs/2110.06904 (2021) - [i4]Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao:
SoK: Anti-Facial Recognition Technology. CoRR abs/2112.04558 (2021) - 2020
- [c6]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: 67-83 - [c5]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: 1589-1604 - [i3]Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao:
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. CoRR abs/2002.08327 (2020) - [i2]Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao:
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks. CoRR abs/2006.14042 (2020)
2010 – 2019
- 2019
- [c4]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: 149-166 - [c3]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: 707-723 - [i1]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 abs/1904.08554 (2019) - 2018
- [c2]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: 493 - [c1]Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng, Ben Y. Zhao:
Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash. HT 2018: 123-127
Coauthor Index
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