Revisiting Membership Inference Under Realistic Assumptions

21 May 2020

Quanquan Gu

Papers citing "Revisiting Membership Inference Under Realistic Assumptions"

35 / 35 papers shown

Title
Rethinking Membership Inference Attacks Against Transfer Learning Cong Wu Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 64 34 0 20 Jan 2025
Efficient Federated Unlearning under Plausible Deniability Ayush K. Varshney V. Torra MU 38 3 0 13 Oct 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 42 1 0 09 Aug 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 85 28 1 23 Jun 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert 47 4 0 13 Jun 2024
Epsilon*: Privacy Metric for Machine Learning Models Diana M. Negoescu H. González Saad Eddin Al Orjany Jilei Yang Yuliia Lut ... Xinyi Zheng Zachariah Douglas Vidita Nolkha P. Ahammad G. Samorodnitsky 28 2 0 21 Jul 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 26 1 0 07 Jun 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 63 569 0 30 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 44 35 0 21 Dec 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 32 2 0 28 Oct 2022
Are Attribute Inference Attacks Just Imputation? Bargav Jayaraman David E. Evans TDI MIACV 34 46 0 02 Sep 2022
SNAP: Efficient Extraction of Private Properties with Poisoning Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan R. Ullman MIACV 34 30 0 25 Aug 2022
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 19 0 0 24 Aug 2022
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 30 25 0 07 Jun 2022
How to Combine Membership-Inference Attacks on Multiple Updated Models Matthew Jagielski Stanley Wu Alina Oprea Jonathan R. Ullman Roxana Geambasu 23 10 0 12 May 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 36 106 0 31 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 32 151 0 08 Mar 2022
An Efficient Subpopulation-based Membership Inference Attack Shahbaz Rezaei Xin Liu MIACV 24 5 0 04 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 24 9 0 02 Mar 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 27 18 0 24 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
LTU Attacker for Membership Inference Joseph Pedersen Rafael Munoz-Gómez Jiangnan Huang Haozhe Sun Wei-Wei Tu Isabelle M Guyon 29 1 0 04 Feb 2022
Secret Sharing Sharing For Highly Scalable Secure Aggregation Timothy Stevens Joseph P. Near Christian Skalka FedML 16 5 0 03 Jan 2022
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 24 639 0 07 Dec 2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 24 12 0 04 Dec 2021
Adaptive Differentially Private Empirical Risk Minimization Xiaoxia Wu Lingxiao Wang Irina Cristali Quanquan Gu Rebecca Willett 35 6 0 14 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 35 16 0 20 Sep 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 16 32 0 06 May 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 30 412 0 14 Mar 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn H. Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 29 38 0 12 Mar 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 30 119 0 05 Jan 2021
TransMIA: Membership Inference Attacks Using Transfer Shadow Training Seira Hidano Takao Murakami Yusuke Kawamoto MIACV 23 13 0 30 Nov 2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models Yixi Xu S. Mukherjee Xiyang Liu Shruti Tople Rahul Dodhia J. L. Ferres MIACV 19 11 0 11 Sep 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 13 39 0 02 Jun 2019