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Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning

Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning

9 October 2024
Qiang Hu
Hengxiang Zhang
Hongxin Wei
ArXivPDFHTML

Papers citing "Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning"

15 / 15 papers shown
Title
Initialization Matters: Privacy-Utility Analysis of Overparameterized
  Neural Networks
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
Jiayuan Ye
Zhenyu Zhu
Fanghui Liu
Reza Shokri
Volkan Cevher
63
12
0
31 Oct 2023
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
50
161
0
08 Mar 2022
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
71
72
0
06 Sep 2021
Membership Inference Attacks on Lottery Ticket Networks
Membership Inference Attacks on Lottery Ticket Networks
Aadesh Bagmar
Shishira R. Maiya
Shruti Bidwalka
Amol Deshpande
MIACV
76
5
0
07 Aug 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
436
1,906
0
14 Dec 2020
Label-Only Membership Inference Attacks
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
MIACV
MIALM
87
505
0
28 Jul 2020
Rethink the Connections among Generalization, Memorization and the
  Spectral Bias of DNNs
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs
Xiao Zhang
Haoyi Xiong
Dongrui Wu
73
12
0
29 Apr 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
318
370
0
24 Mar 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
161
743
0
19 Mar 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
206
1,638
0
28 Dec 2018
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
145
1,137
0
23 Jan 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
228
4,103
0
18 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
717
36,708
0
25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.5K
39,472
0
01 Sep 2014
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