Openxai: Towards a transparent evaluation of model explanations C Agarwal, S Krishna, E Saxena, M Pawelczyk, N Johnson, I Puri, M Zitnik, ... Advances in neural information processing systems 35, 15784-15799, 2022 | 166 | 2022 |
Rethinking stability for attribution-based explanations C Agarwal, N Johnson, M Pawelczyk, S Krishna, E Saxena, M Zitnik, ... arXiv preprint arXiv:2203.06877, 2022 | 56 | 2022 |
Salsa fresca: Angular embeddings and pre-training for ml attacks on learning with errors S Stevens, E Wenger, C Li, N Nolte, E Saxena, F Charton, K Lauter arXiv preprint arXiv:2402.01082, 2024 | 5 | 2024 |
Openxai: Towards a transparent evaluation of post hoc model explanations C Agarwal, E Saxena, S Krishna, M Pawelczyk, N Johnson, I Puri, M Zitnik, ... arXiv preprint arXiv:2206.11104, 2022 | 5 | 2022 |
Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers E Saxena Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13140 …, 2022 | 4 | 2022 |
International Association for Cryptologic Research X Liu, N Trieu, T Gupta, I Ahmad, D Song HADES, 2024 | 3 | 2024 |
Teaching Transformers Modular Arithmetic at Scale E Saxena, A Alfarano, E Wenger, K Lauter arXiv preprint arXiv:2410.03569, 2024 | | 2024 |
Benchmarking Attacks on Learning with Errors E Wenger, E Saxena, M Malhou, E Thieu, K Lauter arXiv preprint arXiv:2408.00882, 2024 | | 2024 |
OpenXAI: A Comprehensive Framework for Transparent Evaluation and Benchmarking of Explanation Methods for Machine Learning Models E Saxena | | 2023 |
VITALSIGHT: TEMPORAL AMPLIFICATION OF PHOTOPLETHYSMOGRAPHIC AND BIOMETRIC SIGNALS HIDDEN IN VIDEO STREAMS FOR CONTACTLESS MONITORING OF CARDIOVASCULAR HEALTH AND IDENTITY … E Saxena 2018 AAAS Annual Meeting, 2018 | | 2018 |