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Bounding Membership Inference

Bounding Membership Inference

24 February 2022
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
ArXivPDFHTML

Papers citing "Bounding Membership Inference"

13 / 13 papers shown
Title
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense
  of Privacy
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Jamie Hayes
Ilia Shumailov
Eleni Triantafillou
Amr Khalifa
Nicolas Papernot
MU
33
25
0
02 Mar 2024
Low-Cost High-Power Membership Inference Attacks
Low-Cost High-Power Membership Inference Attacks
Sajjad Zarifzadeh
Philippe Liu
Reza Shokri
41
34
0
06 Dec 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Eric Aubinais
Elisabeth Gassiat
Pablo Piantanida
MIACV
43
2
0
20 Oct 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Anvith Thudi
Hengrui Jia
Casey Meehan
Ilia Shumailov
Nicolas Papernot
12
3
0
01 Jul 2023
Gaussian Membership Inference Privacy
Gaussian Membership Inference Privacy
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
15
15
0
12 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
30
25
0
10 May 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
22
34
0
26 Feb 2023
Provable Membership Inference Privacy
Provable Membership Inference Privacy
Zachary Izzo
Jinsung Yoon
Sercan Ö. Arik
James Y. Zou
20
5
0
12 Nov 2022
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis
  Testing: A Lesson From Fano
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Chuan Guo
Alexandre Sablayrolles
Maziar Sanjabi
FedML
13
17
0
24 Oct 2022
Measuring Forgetting of Memorized Training Examples
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski
Om Thakkar
Florian Tramèr
Daphne Ippolito
Katherine Lee
...
Eric Wallace
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Chiyuan Zhang
TDI
31
102
0
30 Jun 2022
Enhanced Membership Inference Attacks against Machine Learning Models
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye
Aadyaa Maddi
S. K. Murakonda
Vincent Bindschaedler
Reza Shokri
MIALM
MIACV
17
231
0
18 Nov 2021
Dataset Inference: Ownership Resolution in Machine Learning
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini
Mohammad Yaghini
Nicolas Papernot
FedML
61
103
0
21 Apr 2021
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer
Pascal Schöttle
Matthias Zeppelzauer
MU
102
129
0
07 Feb 2020
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