Emily Wenger

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Machine Learning

Speech Synthesis

Countermeasures

Ranking Algorithm

Top Venues

IACR Cryptol. ePrint Arch.

USENIX Security Symposium

Publications

Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. IACR Cryptol. ePrint Arch. 2024 (2024)
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
The Cool and the Cruel: Separating Hard Parts of LWE Secrets. AFRICACRYPT (2024)
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
The cool and the cruel: separating hard parts of LWE secrets. IACR Cryptol. ePrint Arch. 2024 (2024)
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Data Isotopes for Data Provenance in DNNs. Proc. Priv. Enhancing Technol. 2024 (1) (2024)
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
The cool and the cruel: separating hard parts of LWE secrets. CoRR (2024)
Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin E. Lauter
Benchmarking Attacks on Learning with Errors. IACR Cryptol. ePrint Arch. 2024 (2024)
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. CoRR (2024)
Cathy Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets. CoRR (2023)
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)
Cathy Yuanchen Li, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
SALSA VERDE: a machine learning attack on LWE with sparse small secrets. NeurIPS (2023)
Cathy Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
SALSA VERDE: a machine learning attack on Learning with Errors with sparse small secrets. IACR Cryptol. ePrint Arch. 2023 (2023)
Cathy Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
SALSA PICANTE: a machine learning attack on LWE with binary secrets. IACR Cryptol. ePrint Arch. 2023 (2023)
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets. CCS (2023)
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 (2023)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
SoK: Anti-Facial Recognition Technology. SP (2023)
Cathy Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
SALSA PICANTE: a machine learning attack on LWE with binary secrets. CoRR (2023)
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Data Isotopes for Data Provenance in DNNs. CoRR (2022)
Emily Wenger, Francesca Falzon, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
Assessing Privacy Risks from Feature Vector Reconstruction Attacks. CoRR (2022)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. CoRR (2022)
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 (2022)
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)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. NeurIPS (2022)
Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Heather Zheng, Ben Y. Zhao
Finding Naturally Occurring Physical Backdoors in Image Datasets. NeurIPS (2022)
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)
Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Haitao Zheng, Ben Y. Zhao
Natural Backdoor Datasets. CoRR (2022)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. IACR Cryptol. ePrint Arch. 2022 (2022)
Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Y. Zhao
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World. CoRR (2021)
Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Y. Zhao
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World. CCS (2021)
Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
Backdoor Attacks Against Deep Learning Systems in the Physical World. CVPR (2021)
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
SoK: Anti-Facial Recognition Technology. CoRR (2021)
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks. CoRR (2020)
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. CoRR (2020)
Emily Wenger, Josephine Passananti, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
Backdoor Attacks on Facial Recognition in the Physical World. CoRR (2020)
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)
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)