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Characterizing Membership Privacy in Stochastic Gradient Langevin
  Dynamics

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

AAAI Conference on Artificial Intelligence (AAAI), 2019
5 October 2019
Abeer Alshehri
Chaochao Chen
Shiwan Zhao
Cen Chen
Xingtai Lv
Guangyu Sun
L. Sonenberg
Xiaolu Zhang
Jun Zhou
    BDL
ArXiv (abs)PDFHTML

Papers citing "Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics"

10 / 10 papers shown
Deep Learning with Data Privacy via Residual Perturbation
Deep Learning with Data Privacy via Residual Perturbation
Wenqi Tao
Huaming Ling
Zuoqiang Shi
Bao Wang
243
2
0
11 Aug 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
349
29
0
31 Aug 2023
Recommendation Unlearning via Matrix Correction
Recommendation Unlearning via Matrix Correction
Jiahao Liu
Dongsheng Li
Hansu Gu
Tun Lu
Jiongran Wu
Peng Zhang
Li Shang
Ning Gu
MU
249
6
0
29 Jul 2023
l-Leaks: Membership Inference Attacks with Logits
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li
Yajie Wang
Yuan-zhang Li
Yu-an Tan
MIACVMIALM
276
6
0
13 May 2022
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A
  Unified View via Information Leakage Analysis
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Bingzhe Wu
Zhicong Liang
Yatao Bian
Chaochao Chen
Junzhou Huang
Yuan Yao
111
1
0
14 Dec 2021
Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy
  for Deep Learning?
Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?
Guy Heller
Ethan Fetaya
BDL
293
3
0
11 Oct 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
371
589
0
14 Mar 2021
Towards Scalable and Privacy-Preserving Deep Neural Network via
  Algorithmic-Cryptographic Co-design
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Jun Zhou
Longfei Zheng
Chaochao Chen
Yan Wang
Xiaolin Zheng
Bingzhe Wu
Cen Chen
Li Wang
Jianwei Yin
FedML
159
3
0
17 Dec 2020
A Comprehensive Analysis of Information Leakage in Deep Transfer
  Learning
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Cen Chen
Bingzhe Wu
Minghui Qiu
Li Wang
Jun Zhou
PILM
79
12
0
04 Sep 2020
Differentially Private Federated Learning with Laplacian Smoothing
Differentially Private Federated Learning with Laplacian SmoothingApplied and Computational Harmonic Analysis (ACHA), 2020
Zhicong Liang
Bao Wang
Quanquan Gu
Stanley Osher
Xingtai Lv
FedML
161
11
0
01 May 2020
1