Formalizing and Estimating Distribution Inference Risks

13 September 2021

Papers citing "Formalizing and Estimating Distribution Inference Risks"

12 / 12 papers shown

Title
Range Membership Inference Attacks Jiashu Tao Reza Shokri 42 1 0 09 Aug 2024
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Summary Statistic Privacy in Data Sharing Zinan Lin Shuaiqi Wang Vyas Sekar Giulia Fanti 43 7 0 03 Mar 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
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 29 14 0 18 Sep 2022
Black-Box Audits for Group Distribution Shifts Marc Juárez Samuel Yeom Matt Fredrikson MLAU 21 4 0 08 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
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen O. Ohrimenko FedML 19 12 0 18 Jul 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
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 40 158 0 13 Jan 2022
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 69 104 0 21 Apr 2021
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