APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

28 December 2021

Papers citing "APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers"

6 / 6 papers shown

Title
DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov Dimitar I. Dimitrov Maximilian Baader Mark Niklas Muller Martin Vechev FedML 57 3 0 24 May 2024
Enhanced Security with Encrypted Vision Transformer in Federated Learning Rei Aso Sayaka Shiota Hitoshi Kiya FedML 26 2 0 01 Aug 2023
Dropout is NOT All You Need to Prevent Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland FedML 27 12 0 12 Aug 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 32 36 0 15 Jun 2022
TransPose: Keypoint Localization via Transformer Sen Yang Zhibin Quan Mu Nie Wankou Yang ViT 140 262 0 28 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019