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Purifier: Defending Data Inference Attacks via Transforming Confidence
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Purifier: Defending Data Inference Attacks via Transforming Confidence Scores

1 December 2022

Fan Zhang

Papers citing "Purifier: Defending Data Inference Attacks via Transforming Confidence Scores"

18 / 18 papers shown

Title
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 90 2 0 01 Mar 2025
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models Shagufta Mehnaz S. V. Dibbo Ehsanul Kabir Ninghui Li E. Bertino MIACV 75 62 0 23 Jan 2022
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture Xinyu Tang Saeed Mahloujifar Liwei Song Virat Shejwalkar Milad Nasr Amir Houmansadr Prateek Mittal 53 80 0 15 Oct 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 159 121 0 05 Jan 2021
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 75 245 0 30 Jul 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 96 514 0 28 Jul 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 63 75 0 22 Nov 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 66 390 0 23 Sep 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 39 151 0 28 May 2019
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 49 472 0 16 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 93 949 0 04 Jun 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 68 164 0 13 May 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 55 91 0 27 Mar 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 62 893 0 16 Jan 2018
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 72 1,113 0 27 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 117 1,404 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 207 6,130 0 01 Jul 2016

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