Eshika Saxena

16 papers A* 4Journal 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
Benchmarking Attacks on Learning with Errors.
SP
Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin E. Lauter
2025 J jnl
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation.
CoRR
Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, Chenxi Whitehouse, Adina Williams, Nicola Cancedda
2025 A* conf
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic.
ICML
Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter
2025 J jnl
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic.
IACR Cryptol. ePrint Arch.
Eshika Saxena, Alberto Alfarano, François Charton, Zeyuan Allen-Zhu, Emily Wenger, Kristin E. Lauter
2025 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
Trans. Mach. Learn. Res.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2025 J jnl
TAPAS: Datasets for Learning the Learning with Errors Problem.
CoRR
Eshika Saxena, Alberto Alfarano, François Charton, Emily Wenger, Kristin E. Lauter
2025 J jnl
TAPAS: Datasets for Learning the Learning with Errors Problem.
IACR Cryptol. ePrint Arch.
Eshika Saxena, Alberto Alfarano, François Charton, Emily Wenger, Kristin E. Lauter
2024 J jnl
Benchmarking Attacks on Learning with Errors.
CoRR
Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin E. Lauter
2024 J jnl
Benchmarking Attacks on Learning with Errors.
IACR Cryptol. ePrint Arch.
Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin E. Lauter
2024 J jnl
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
IACR Cryptol. ePrint Arch.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
CoRR
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 J jnl
Teaching Transformers Modular Arithmetic at Scale.
CoRR
Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter
2022 A* conf
Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers.
AAAI
Eshika Saxena
2022 A* conf
OpenXAI: Towards a Transparent Evaluation of Model Explanations.
NeurIPS
Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022 J jnl
OpenXAI: Towards a Transparent Evaluation of Model Explanations.
CoRR
Chirag Agarwal, Eshika Saxena, Satyapriya Krishna, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022 J jnl
Rethinking Stability for Attribution-based Explanations.
CoRR
Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju