PAC to the Future: Zero-Knowledge Proofs of PAC Private Systems
Authors: Guilhem Repetto, Nojan Sheybani, Gabrielle De Micheli, Farinaz Koushanfar | Published: 2026-02-12
Computational Consistency
Private Transformer Inference in MLaaS: A Survey
Authors: Yang Li, Xinyu Zhou, Yitong Wang, Liangxin Qian, Jun Zhao | Published: 2025-05-15
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2020-06-01 | Updated: 2020-10-15
Certified Defense to Image Transformations via Randomized Smoothing
Authors: Marc Fischer, Maximilian Baader, Martin Vechev | Published: 2020-02-27 | Updated: 2021-08-25
Adversarially Robust Learning Could Leverage Computational Hardness
Authors: Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody | Published: 2019-05-28 | Updated: 2019-12-19
Private Machine Learning in TensorFlow using Secure Computation
Authors: Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma | Published: 2018-10-18 | Updated: 2018-10-23