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A Survey of Privacy Attacks in Machine Learning

A Survey of Privacy Attacks in Machine Learning

15 July 2020
M. Rigaki
Sebastian Garcia
    PILM
    AAML
ArXivPDFHTML

Papers citing "A Survey of Privacy Attacks in Machine Learning"

5 / 105 papers shown
Title
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
Property Inference Attacks on Convolutional Neural Networks: Influence
  and Implications of Target Model's Complexity
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity
Mathias Parisot
Balázs Pejó
Dayana Spagnuelo
MIACV
8
33
0
27 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
22
408
0
14 Mar 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,798
0
14 Dec 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial
  Evasion Attack
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu
Tianpei Xia
Laurie A. Williams
Tim Menzies
AAML
8
15
0
23 Nov 2020
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