Discriminative Adversarial Privacy: Balancing Accuracy and Membership
Privacy in Neural Networks

Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks

5 June 2023

Eugenio Lomurno

Alberto Archetti

Francesca Ausonio

Matteo Matteucci

Papers citing "Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks"

7 / 7 papers shown

Title
Your Image Generator Is Your New Private Dataset Nicolo Resmini Eugenio Lomurno Cristian Sbrolli Matteo Matteucci 33 0 0 06 Apr 2025
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing Eugenio Lomurno Matteo Matteucci 49 2 0 30 Jul 2024
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks Eugenio Lomurno Matteo Matteucci MedIm 51 3 0 22 Jul 2024
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 Fatemeh Baghdadi Davide Cirillo D. Lezzi Francesc Lordan Fernando Vazquez Eugenio Lomurno Alberto Archetti Danilo Ardagna Matteo Matteucci 49 1 0 23 Feb 2024
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 50 28 0 01 Nov 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 41 14 0 24 Jun 2022
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning Eugenio Lomurno Alberto Archetti Lorenzo Cazzella Stefano Samele Leonardo Di Perna Matteo Matteucci FedML 32 18 0 24 Sep 2021