SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

21 December 2022

Santiago Zanella Béguelin

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Papers citing "SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning"

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Title
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data Zexi Yao Natasa Krco Georgi Ganev Yves-Alexandre de Montjoye 134 0 0 02 May 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 80 0 0 24 Feb 2025
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 64 0 0 15 Dec 2024
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy Fabian P. Krüger Johan Östman Lewis H. Mervin Igor V. Tetko O. Engkvist 27 0 0 22 Oct 2024
Membership Inference Attacks Against In-Context Learning Rui Wen Z. Li Michael Backes Yang Zhang 37 6 0 02 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 32 1 0 29 Aug 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David E. Evans MIACV MIALM AAML 44 1 0 17 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 41 1 0 05 Jun 2024
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries Rachel Cummings Shlomi Hod Jayshree Sarathy Marika Swanberg 39 2 0 02 May 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 48 15 0 14 Mar 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 23 8 0 04 Mar 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 48 3 0 25 Feb 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey Alka Luqman Riya Mahesh Anupam Chattopadhyay 30 2 0 31 Jan 2024
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference Dancheng Liu Jinjun Xiong MIACV FedML AAML 34 0 0 19 Jan 2024
Reinforcement Unlearning Dayong Ye Tianqing Zhu Congcong Zhu Derui Wang Zewei Shi Sheng Shen Wanlei Zhou Jason Xue MU 26 7 0 26 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 34 5 0 17 Nov 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 16 20 0 24 Oct 2023
User Inference Attacks on Large Language Models Nikhil Kandpal Krishna Pillutla Alina Oprea Peter Kairouz Christopher A. Choquette-Choo Zheng Xu SILM AAML 38 15 0 13 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 18 2 0 12 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 32 24 0 27 Sep 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 18 4 0 18 Jan 2023
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 33 26 0 17 Oct 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 34 8 0 22 Aug 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,814 0 14 Dec 2020