Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers. - Eshika Saxena (AAAI, 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 (NeurIPS, 2022)

Rethinking Stability for Attribution-based Explanations. - Chirag Agarwal; Nari Johnson; Martin Pawelczyk; Satyapriya Krishna; Eshika Saxena; Marinka Zitnik; Himabindu Lakkaraju (CoRR, 2022)

Teaching Transformers Modular Arithmetic at Scale. - Eshika Saxena; Alberto Alfarano; Emily Wenger; Kristin E. Lauter (CoRR, 2024)

SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. - Samuel Stevens 001; Emily Wenger; Cathy Yuanchen Li; Niklas Nolte; Eshika Saxena; François Charton; Kristin E. Lauter (IACR Cryptol. ePrint Arch., 2024)

Benchmarking Attacks on Learning with Errors. - Emily Wenger; Eshika Saxena; Mohamed Malhou; Ellie Thieu; Kristin E. Lauter (IACR Cryptol. ePrint Arch., 2024)