Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
Authors: Lisang Zhou, Meng Wang, Ning Zhou | Published: 2024-04-15
Privacy Protection
Privacy at a Price: Exploring its Dual Impact on AI Fairness
Authors: Mengmeng Yang, Ming Ding, Youyang Qu, Wei Ni, David Smith, Thierry Rakotoarivelo | Published: 2024-04-15
Can LLMs get help from other LLMs without revealing private information?
Authors: Florian Hartmann, Duc-Hieu Tran, Peter Kairouz, Victor Cărbune, Blaise Aguera y Arcas | Published: 2024-04-01 | Updated: 2024-04-02
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores
Authors: Vidminas Vizgirda, Rui Zhao, Naman Goel | Published: 2024-03-15
Towards Independence Criterion in Machine Unlearning of Features and Labels
Authors: Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley | Published: 2024-03-12
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Authors: Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas | Published: 2024-03-06
BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs)
Authors: Sean Wellington | Published: 2024-03-01
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
Authors: Sakib Anwar Rieyan, Md. Raisul Kabir News, A. B. M. Muntasir Rahman, Sadia Afrin Khan, Sultan Tasneem Jawad Zaarif, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Michele Ianni, Giancarlo Fortino | Published: 2024-02-15
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Authors: Yu Liu, Zibo Wang, Yifei Zhu, Chen Chen | Published: 2024-02-15
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
Authors: Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang | Published: 2024-02-14