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

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

Jiahao Lu
Xi Sheryl Zhang
Tianli Zhao
Xiangyu He
Jian Cheng
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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
DAGER: Exact Gradient Inversion for Large Language Models
Ivo Petrov
Dimitar I. Dimitrov
Maximilian Baader
Mark Niklas Muller
Martin Vechev
FedML
41
2
0
24 May 2024
Enhanced Security with Encrypted Vision Transformer in Federated Learning
Enhanced Security with Encrypted Vision Transformer in Federated Learning
Rei Aso
Sayaka Shiota
Hitoshi Kiya
FedML
19
2
0
01 Aug 2023
Dropout is NOT All You Need to Prevent Gradient Leakage
Dropout is NOT All You Need to Prevent Gradient Leakage
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
14
10
0
12 Aug 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
16
35
0
15 Jun 2022
TransPose: Keypoint Localization via Transformer
TransPose: Keypoint Localization via Transformer
Sen Yang
Zhibin Quan
Mu Nie
Wankou Yang
ViT
135
252
0
28 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019