How to Combine Membership-Inference Attacks on Multiple Updated Models

How to Combine Membership-Inference Attacks on Multiple Updated Models

12 May 2022

Matthew Jagielski

Jonathan R. Ullman

Roxana Geambasu

Papers citing "How to Combine Membership-Inference Attacks on Multiple Updated Models"

9 / 9 papers shown

Title
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 32 0 0 01 Jun 2024
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models Jeffrey G. Wang Jason Wang Marvin Li Seth Neel MIALM 63 0 0 26 Feb 2024
MoPe: Model Perturbation-based Privacy Attacks on Language Models Marvin Li Jason Wang Jeffrey G. Wang Seth Neel AAML 35 18 0 22 Oct 2023
Information Leakage from Data Updates in Machine Learning Models Tian Hui Farhad Farokhi Olga Ohrimenko FedML AAML KELM MIACV 51 1 0 20 Sep 2023
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting Ana-Maria Cretu Daniel Jones Yves-Alexandre de Montjoye Shruti Tople AAML 24 4 0 08 Jun 2023
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 31 30 0 19 Oct 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 54 102 0 30 Jun 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 1,815 0 14 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020