Private and Reliable Neural Network Inference

Private and Reliable Neural Network Inference

27 October 2022

Nikola Jovanović

Martin Vechev

Papers citing "Private and Reliable Neural Network Inference"

7 / 7 papers shown

Title
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song J. Liu X. J. Yang AAML SILM FedML 43 1 0 02 Feb 2025
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 44 6 0 24 Feb 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 55 11 0 28 Dec 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture Adrien Benamira Tristan Guérand Thomas Peyrin Sayandeep Saha 19 6 0 03 Feb 2023
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
SoK: Fully Homomorphic Encryption Compilers Alexander Viand Patrick Jattke Anwar Hithnawi 29 98 0 18 Jan 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016