差分プライバシー

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry

Authors: Supriya Manna, Niladri Sett | Published: 2024-12-30 | Updated: 2025-05-22
プライバシー管理
ロバストな説明可能性
差分プライバシー

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
プライバシー保護フレームワーク
差分プライバシー
敵対的学習

DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators

Authors: Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz | Published: 2024-12-03 | Updated: 2025-04-29
プライバシー侵害
合成データ生成
差分プライバシー

Model-based Large Language Model Customization as Service

Authors: Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang | Published: 2024-10-14 | Updated: 2025-05-22
テキスト生成手法
プライバシー管理
差分プライバシー

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
プライバシー保護手法
プライバシー設計原則
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