ML Anthology

Wenger, Emily

7 publications

ICML 2025 Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter
TMLR 2025 Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning with Errors Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, Francois Charton, Kristin E. Lauter
NeurIPS 2025 TAPAS: Datasets for Learning the Learning with Errors Problem Eshika Saxena, Alberto Alfarano, Francois Charton, Emily Wenger, Kristin E. Lauter
NeurIPS 2023 SALSA VERDE: A Machine Learning Attack on LWE with Sparse Small Secrets Cathy Li, Emily Wenger, Zeyuan Allen-Zhu, Francois Charton, Kristin E. Lauter
NeurIPS 2022 Finding Naturally Occurring Physical Backdoors in Image Datasets Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Heather Zheng, Ben Zhao
NeurIPS 2022 SALSA: Attacking Lattice Cryptography with Transformers Emily Wenger, Mingjie Chen, Francois Charton, Kristin E. Lauter
CVPR 2021 Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao