差分プライバシー

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Authors: Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen | Published: 2024-06-03 | Updated: 2025-05-28
LLMセキュリティ
プライバシー分類
差分プライバシー

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
プライバシー評価
モデル情報を秘匿しつつ、説明性を提供する手法
差分プライバシー

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
差分プライバシー
性能評価
暗号化技術

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Authors: Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson | Published: 2020-07-28
プライバシー手法
差分プライバシー
活性化関数の調整

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
メンバーシップ推論
差分プライバシー
攻撃シナリオ分析

Evaluating Differentially Private Machine Learning in Practice

Authors: Bargav Jayaraman, David Evans | Published: 2019-02-24 | Updated: 2019-08-12
メンバーシップ推論
差分プライバシー
情報漏洩の原因

Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise

Authors: Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi | Published: 2019-02-13
差分プライバシー
情報理論的アプローチ
相対誤差分析

Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach

Authors: Zhitao Guan, Zefang Lv, Xiaojiang Du, Longfei Wu, Mohsen Guizani | Published: 2019-02-08
プライバシー保護手法
初期シード生成
差分プライバシー

Utility Preserving Secure Private Data Release

Authors: Jasjeet Dhaliwal, Geoffrey So, Aleatha Parker-Wood, Melanie Beck | Published: 2019-01-28 | Updated: 2019-03-15
ランダム化手法
差分プライバシー
距離回復アルゴリズム

Bayesian Differential Privacy for Machine Learning

Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-01-28 | Updated: 2020-08-19
プライバシー定義
差分プライバシー
深層学習手法