Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
Authors: Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho | Published: 2025-03-20
差分プライバシー
BLIA: Detect model memorization in binary classification model through passive Label Inference attack
Authors: Mohammad Wahiduzzaman Khan, Sheng Chen, Ilya Mironov, Leizhen Zhang, Rabib Noor | Published: 2025-03-17
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
Authors: Jiang Zhang, Rohan Xavier Sequeira, Konstantinos Psounis | Published: 2025-03-05 | Updated: 2025-04-07
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning
Authors: Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen | Published: 2024-12-11 | Updated: 2025-04-17
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
Authors: Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani | Published: 2024-07-09 | Updated: 2025-03-17
XRand: Differentially Private Defense against Explanation-Guided Attacks
Authors: Truc Nguyen, Phung Lai, NhatHai Phan, My T. Thai | Published: 2022-12-08 | Updated: 2022-12-14
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Authors: Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No | Published: 2021-06-14
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Authors: Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson | Published: 2020-07-28
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Authors: Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz | Published: 2019-09-09 | Updated: 2020-11-23
Evaluating Differentially Private Machine Learning in Practice
Authors: Bargav Jayaraman, David Evans | Published: 2019-02-24 | Updated: 2019-08-12