13
Publications
350
Citations
11
H-Index
2019
Active since
Affiliations
Emily Wenger is an author at University of Chicago specializing in data science, machine learning, and engineering.
Top concepts
EngineeringData ScienceMachine LearningData SecurityDeep LearningComputer ScienceInformation ForensicsAdversarial Machine LearningData PrivacyBiometrics
Publications per year
2019–2024
13
13
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Shawn Shan, Emily Wenger, Bolun Wang et al. · 2020 · 66 citations · Full text
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
Shawn Shan, Emily Wenger, Jiayun Zhang et al. · arXiv (Cornell University) · 2020 · 49 citations · Full text
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger et al. · arXiv (Cornell University) · 2023 · 41 citations · Full text
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World
Emily Wenger, Max Bronckers, Christian Cianfarani et al. · 2021 · 35 citations · Full text
Piracy Resistant Watermarks for Deep Neural Networks
Huiying Li, Emily Wenger, Shawn Shan et al. · arXiv (Cornell University) · 2019 · 31 citations · Full text
Rows per page
1–5 of 13