Conference Publications

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

2025

NeurIPS Math AI Workshop

Scrapers Selectively Respect robots.txt Directives - Evidence from a Large-Scale Empirical Study
Taein Kim, Karstan Bock, Claire Luo, Amanda Liswood, Chloe Poroslay, Emily Wenger
Proceedings of the ACM Internet Measurement Conference (IMC)
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TAPAS - Datasets for Learning the Learning with Errors Problem
Eshika Saxena, Alberto Alfarano, Francois Charton, Emily Wenger, Kristin Lauter
Proceedings of Neural Information Processing Systems (NeurIPS)

Making Hard Problems Easier with Custom Data Distributions and Loss Regularization - A Case Study in Modular Arithmetic
Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin Lauter
Proceedings of the International Conference on Machine Learning (ICML)
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SALSA Fresca - Angular Embeddings and Pre-Training for ML Attacks on LWE
Samuel Stevens, Emily Wenger, Cathy Li, Eshika Saxena, Francois Charton, Kristin Lauter
Transactions on Machine Learning Research (TMLR)
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Benchmarking Attacks on Learning with Errors
Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin Lauter
Proceedings of the 46th IEEE Symposium on Security and Privacy (SP)
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2024

The Cool and the Cruel - Separating Hard Parts of LWE Secrets
Niklas Nolte*, Mohamed Malhou*, Emily Wenger*, Samuel Stevens, Cathy Li, Francois Charton, Kristin Lauter
Proceedings of AFRICACRYPT
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Data Isotopes for Data Provenance in DNNs
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Proceedings of Privacy Enhancing Technologies Symposium (PETS)
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2023

SALSA VERDE - A machine learning attack on LWE with small sparse secrets
Cathy Li, Emily Wenger, Zeyuan Allen-Zhu, Francois Charton, Kristin Lauter
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS)
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SALSA PICANTE - A machine learning attack on LWE with binary secrets
Cathy Li, Jana Sotakova, Emily Wenger, Mohamed Malhou, Evrard Garcelon, Francois Charton, Kristin Lauter
Proceedings of the ACM Conference on Computer and Communications Security (CCS)
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GLAZE - Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
Proceedings of the 32nd USENIX Security Symposium
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SoK - Anti-Facial Recognition Technology
Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
Proceedings of the 44th IEEE Symposium on Security and Privacy (SP)
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2022

SALSA - Attacking Lattice Cryptography with Transformers
Emily Wenger*, Mingjie Chen*, Francois Charton, Kristin Lauter
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS)
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Finding Naturally Occurring Physical Backdoors in Image Datasets
Emily Wenger*, Roma Bhattacharjee*, Arjun Bhagoji, Josephine Passananti, Emilio Andere, Haitao Zheng, Ben Y. Zhao
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS)
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Post-breach Recovery - Protection against White-Box Adversarial Examples for Leaked DNN Models
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
Proceedings of the ACM Conference on Computer and Communications Security (CCS)
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Blacklight - Defending Black-Box Adversarial Attacks on Deep Neural Networks
Huiying Li, Shawn Shan, Emily Wenger, Jiayun Zhang, Haitao Zheng, Ben Y. Zhao
Proceedings of the 31st USENIX Security Symposium
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2021

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
Proceedings of the ACM Conference on Computer and Communications Security (CCS)
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Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger, Josephine Passananti, Arjun Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
Proceedings of IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)
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2020

Fawkes - Protecting Privacy against Unauthorized Deep Learning Models
Shawn Shan*, Emily Wenger*, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
Proceedings of the 30th USENIX Security Symposium
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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
Proceedings of the ACM Conference on Computer and Communciations Security (CCS)
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Preprints

Exploring Causes of Representational Similarity in Machine Learning Models
Zeyu Michael Li*, Hung Ahn Vu*, Damilola Awofisayo, Emily Wenger
In Submission
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What Happens when Generative Models Train Recursively on Each Others' Generated Outputs?
Hung Ahn Vu, Galen Reeves, Emily Wenger
In Submission
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We're Different, We're the Same - Creative Homogeneity in Large Language Models
Emily Wenger, Yoed N. Kenett
In Submission
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Assessing Privacy Risks from Feature Vector Reconstruction Attacks
Emily Wenger, Francesca Falzon, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
In Submission
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Piracy Resistant Watermarks for Deep Neural Networks
Huiying Li, Emily Wenger, Shawn Shan, Ben Y. Zhao, Haitao Zheng
In Submission
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