Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption

27 February 2022

Papers citing "Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption"

7 / 7 papers shown

Title
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 43 4 0 16 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 35 0 0 04 Feb 2023
CryptoTL: Private, Efficient and Secure Transfer Learning Roman Walch Samuel Sousa Lukas Helminger Stefanie N. Lindstaedt Christian Rechberger A. Trugler 32 8 0 24 May 2022
Syft 0.5: A Platform for Universally Deployable Structured Transparency A. Hall Madhava Jay Tudor Cebere Bogdan Cebere K. V. D. Veen ... Animesh Gupta Jason Paumier Nahua Kang V. Manannikov Andrew Trask FedML 26 7 0 26 Apr 2021
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 87 301 0 13 Oct 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 72 134 0 10 Mar 2020