Saxena, Eshika

6 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

AAAI 2022 Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers Eshika Saxena

NeurIPS 2022 OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju

ICLRW 2022 Rethinking Stability for Attribution-Based Explanations Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju