Active Membership Inference Attack under Local Differential Privacy in
Federated Learning

Active Membership Inference Attack under Local Differential Privacy in Federated Learning

24 February 2023

Truc D. T. Nguyen

Papers citing "Active Membership Inference Attack under Local Differential Privacy in Federated Learning"

13 / 13 papers shown

Title
Securing Genomic Data Against Inference Attacks in Federated Learning Environments Chetan Pathade Shubham Patil 26 0 0 12 May 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 48 0 0 06 Mar 2025
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 180 1 0 19 Nov 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 26 1 0 15 Oct 2024
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review Adel ElZemity Budi Arief 28 2 0 25 Jul 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 39 6 0 02 Mar 2024
OASIS: Offsetting Active Reconstruction Attacks in Federated Learning Tre' R. Jeter Truc D. T. Nguyen Raed Alharbi My T. Thai AAML 24 0 0 23 Nov 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 46 10 0 24 Oct 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 30 3 0 11 Jul 2023
Subject Membership Inference Attacks in Federated Learning Anshuman Suri Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson 30 25 0 07 Jun 2022
Preserving Privacy and Security in Federated Learning Truc D. T. Nguyen My T. Thai FedML 18 49 0 07 Feb 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 69 181 0 06 Dec 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020