On the Effectiveness of Regularization Against Membership Inference
Attacks

On the Effectiveness of Regularization Against Membership Inference Attacks

9 June 2020

Sanghyun Hong

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Papers citing "On the Effectiveness of Regularization Against Membership Inference Attacks"

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Title
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Yashothara Shanmugarasa Ming Ding M. Chamikara Thierry Rakotoarivelo PILM AILaw 67 0 0 15 Jun 2025
Trustworthy AI: Safety, Bias, and Privacy -- A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 82 0 0 11 Feb 2025
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 81 0 0 12 Jan 2025
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning Nikolaos Chandrinos Iliana Loi Panagiotis Zachos Ioannis Symeonidis Aristotelis Spiliotis Maria Panou Konstantinos Moustakas 96 0 0 02 Dec 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 63 2 0 15 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition Idris Zakariyya Linda Tran Kaushik Bhargav Sivangi Paul Henderson Fani Deligianni 65 0 0 04 Nov 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning Qiang Hu Hengxiang Zhang Hongxin Wei 105 2 0 09 Oct 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 65 1 0 19 Apr 2024
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Jun Niu Xiaoyan Zhu Moxuan Zeng Ge Zhang Qingyang Zhao ... Peng Liu Yulong Shen Xiaohong Jiang Jianfeng Ma Yuqing Zhang 76 4 0 12 Jul 2023
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning Ghada Almashaqbeh Zahra Ghodsi FedML 63 2 0 12 Jun 2023
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Dingfan Chen Ning Yu Mario Fritz 123 43 0 12 Jul 2022
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 68 20 0 27 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 83 32 0 09 May 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference Jasper Tan Blake Mason Hamid Javadi Richard G. Baraniuk FedML 91 20 0 02 Feb 2022
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 118 446 0 14 Mar 2021