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Membership Inference Attacks via Adversarial Examples

Membership Inference Attacks via Adversarial Examples

27 July 2022
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
    AAML
    FedML
    MIACV
ArXivPDFHTML

Papers citing "Membership Inference Attacks via Adversarial Examples"

7 / 7 papers shown
Title
Membership Inference Attacks on DNNs using Adversarial Perturbations
Membership Inference Attacks on DNNs using Adversarial Perturbations
Hassan Ali
Adnan Qayyum
Ala I. Al-Fuqaha
Junaid Qadir
AAML
24
3
0
11 Jul 2023
MIAShield: Defending Membership Inference Attacks via Preemptive
  Exclusion of Members
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
Ismat Jarin
Birhanu Eshete
24
9
0
02 Mar 2022
Learning in High Dimension Always Amounts to Extrapolation
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
38
103
0
18 Oct 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
17
71
0
04 Jul 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
237
968
0
13 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
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