All Rivers Run to the Sea: Private Learning with Asymmetric Flows

All Rivers Run to the Sea: Private Learning with Asymmetric Flows

5 December 2023

Salman Avestimehr

Papers citing "All Rivers Run to the Sea: Private Learning with Asymmetric Flows"

7 / 7 papers shown

Title
Edge Private Graph Neural Networks with Singular Value Perturbation Tingting Tang Yue Niu A. Avestimehr Murali Annavaram AAML 29 1 0 16 Mar 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space Lei Gao Yue Niu Tingting Tang A. Avestimehr Murali Annavaram MU 40 10 0 13 Mar 2024
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Antonio De Almeida Correia Antonia Adler Kristian Kersting MIACV 63 62 0 28 Jan 2022
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 56 17 0 04 Oct 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 110 0 25 Feb 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 293 31,267 0 16 Jan 2013