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Effects of Differential Privacy and Data Skewness on Membership
  Inference Vulnerability

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2019
21 November 2019
Stacey Truex
Ling Liu
Mehmet Emre Gursoy
Wenqi Wei
Lei Yu
    MIACV
ArXiv (abs)PDFHTML

Papers citing "Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability"

17 / 17 papers shown
Title
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
Yi Yin
G. Zhang
Hua Zuo
Jie Lu
142
0
0
02 Sep 2025
Top Ten Challenges Towards Agentic Neural Graph Databases
Top Ten Challenges Towards Agentic Neural Graph DatabasesIEEE Data Engineering Bulletin (DEB), 2025
Jiaxin Bai
Xiping Hu
Yukun Zhou
hang Yin
Weizhi Fei
...
Binhang Yuan
Wei Wang
Lei Chen
Xiaofang Zhou
Yangqiu Song
460
7
0
24 Jan 2025
Privacy-Preserving Model and Preprocessing Verification for Machine Learning
Privacy-Preserving Model and Preprocessing Verification for Machine Learning
Wenbiao Li
Anisa Halimi
Xiaoqian Jiang
Jaideep Vaidya
Erman Ayday
AAML
197
0
0
14 Jan 2025
Efficient and Private: Memorisation under differentially private
  parameter-efficient fine-tuning in language models
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
Olivia Ma
Jonathan Passerat-Palmbach
Dmitrii Usynin
322
2
0
24 Nov 2024
Data Poisoning and Leakage Analysis in Federated Learning
Data Poisoning and Leakage Analysis in Federated Learning
Wenqi Wei
Tiansheng Huang
Zachary Yahn
Anoop Singhal
Margaret Loper
Ling Liu
FedMLSILM
184
2
0
19 Sep 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu
Lei Feng
Huiping Zhuang
Xiaofeng Cao
Jianguo Huang
292
3
0
08 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
332
41
0
02 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
258
7
0
22 Jan 2024
RAI4IoE: Responsible AI for Enabling the Internet of Energy
RAI4IoE: Responsible AI for Enabling the Internet of EnergyInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2023
Minhui Xue
Surya Nepal
Ling Liu
Subbu Sethuvenkatraman
Xingliang Yuan
Carsten Rudolph
Ruoxi Sun
Greg Eisenhauer
235
6
0
20 Sep 2023
A Differentially Private Framework for Deep Learning with Convexified
  Loss Functions
A Differentially Private Framework for Deep Learning with Convexified Loss FunctionsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Zhigang Lu
Hassan Jameel Asghar
M. Kâafar
Darren Webb
Peter Dickinson
193
17
0
03 Apr 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Membership Inference Attacks and Defenses in Neural Network PruningUSENIX Security Symposium (USENIX Security), 2022
Xiaoyong Yuan
Lan Zhang
AAML
158
53
0
07 Feb 2022
Revisiting the Arguments for Edge Computing Research
Revisiting the Arguments for Edge Computing Research
Blesson Varghese
E. de Lara
Aaron Yi Ding
Cheol-Ho Hong
F. Bonomi
...
P. Harvey
P. Hewkin
Weisong Shi
M. Thiele
P. Willis
131
31
0
23 Jun 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
259
568
0
14 Mar 2021
Adversarial Training with Stochastic Weight Average
Adversarial Training with Stochastic Weight AverageInternational Conference on Information Photonics (ICIP), 2020
Joong-won Hwang
Youngwan Lee
Sungchan Oh
Yuseok Bae
OODAAML
135
11
0
21 Sep 2020
LDP-Fed: Federated Learning with Local Differential Privacy
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex
Ling Liu
Ka-Ho Chow
Mehmet Emre Gursoy
Wenqi Wei
FedML
178
468
0
05 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
225
0
0
29 May 2020
Data and Model Dependencies of Membership Inference Attack
Data and Model Dependencies of Membership Inference Attack
Shakila Mahjabin Tonni
Dinusha Vatsalan
F. Farokhi
Dali Kaafar
Zhigang Lu
Gioacchino Tangari
287
23
0
17 Feb 2020
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