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Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic
  Meta-Learning

Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning

1 June 2024
Mina Rafiei
Mohammadmahdi Maheri
Hamid R. Rabiee
ArXivPDFHTML

Papers citing "Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning"

3 / 3 papers shown
Title
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
64
181
0
06 Dec 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
185
358
0
24 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1