Adaptively Private Next-Token Prediction of Large Language Models
Authors: James Flemings, Meisam Razaviyayn, Murali Annavaram | Published: 2024-10-02
プライバシー保護手法
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Authors: Jessica Smith, David Williams, Emily Brown | Published: 2024-09-16
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
Authors: Siddhant Dutta, Pavana P Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira | Published: 2024-09-14 | Updated: 2024-10-12
Exploring User-level Gradient Inversion with a Diffusion Prior
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley Malin, Kieran Parsons, Ye Wang | Published: 2024-09-11
Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
Authors: Osama Zafar, Rosemarie Santa Gonzalez, Gabriel Wilkins, Alfonso Morales, Erman Ayday | Published: 2024-09-09
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
Authors: Rui Wen, Michael Backes, Yang Zhang | Published: 2024-09-05
Defending against Model Inversion Attacks via Random Erasing
Authors: Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-man Cheung | Published: 2024-09-02
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley Malin, Ye Wang | Published: 2024-08-29
LLM-PBE: Assessing Data Privacy in Large Language Models
Authors: Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song | Published: 2024-08-23 | Updated: 2024-09-06
Private Counting of Distinct Elements in the Turnstile Model and Extensions
Authors: Monika Henzinger, A. R. Sricharan, Teresa Anna Steiner | Published: 2024-08-21