Sotabase

Career

· Asst. Prof., Dartmouth

Publications (29)

Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
IEEE Symposium on Security and Privacy · 2019
1,705
cited
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
USENIX Security Symposium · 2020
270
cited
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
USENIX Security Symposium · 2023
249
cited
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
IEEE Symposium on Security and Privacy · 2023
85
cited
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Conference on Computer and Communications Security · 2019
79
cited
Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing
Conference on Computer and Communications Security · 2019
69
cited
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
USENIX Security Symposium · 2021
63
cited
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
USENIX Security Symposium · 2020
55
cited
Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization
International Conference on Human Factors in Computing Systems · 2018
47
cited
Piracy Resistant Watermarks for Deep Neural Networks.
2019
46
cited
Deep Entity Classification: Abusive Account Detection for Online Social Networks
USENIX Security Symposium · 2021
41
cited
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
Conference on Computer and Communications Security · 2024
35
cited
Patch-based Defenses against Web Fingerprinting Attacks
AISec@CCS · 2021
34
cited
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks
arXiv.org · 2020
33
cited
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
33
cited
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
arXiv.org · 2020
26
cited
A Real-time Defense against Website Fingerprinting Attacks
arXiv.org · 2021
23
cited
SoK: Anti-Facial Recognition Technology
IEEE Symposium on Security and Privacy · 2021
19
cited
Using Honeypots to Catch Adversarial Attacks on Neural Networks
MTD@CCS · 2021
16
cited
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks
arXiv.org · 2019
15
cited
Sotabase
Shawn Shan | Researcher Profile | Sotabase | Sotabase