Publications

List of peer-reviewed publications below. (*) indicates co-first authorship.

Blacklight - Defending Black-Box Adversarial Attacks on Deep Neural Networks
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
USENIX Security 2022
PDF
Hello, It's Me - Deep Learning-based Speech Synthesis Attacks in the Real World
Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Zhao
CCS 2021
PDF
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger, Josephine Passananti, Arjun Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
CVPR 2021
PDF Code
Fawkes - Protecting Privacy against Unauthorized Deep Learning Models
Shawn Shan*, Emily Wenger*, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
USENIX Security 2020
PDF Code
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
CCS 2020
PDF Code


Preprints

SoK - Anti-Facial Recognition Technology
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
In Submission
PDF
Assessing Privacy Risks from Feature Vector Reconstruction Attacks
Emily Wenger, Francesca Falzon, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
In Submission
PDF
Piracy Resistant Watermarks for Deep Neural Networks
Huiying Li, Emily Wenger, Shawn Shan, Ben Y. Zhao, Haitao Zheng
In Submission
PDF