差分プライバシー

Bilateral Differentially Private Vertical Federated Boosted Decision Trees

Authors: Bokang Zhang, Zhikun Zhang, Haodong Jiang, Yang Liu, Lihao Zheng, Yuxiao Zhou, Shuaiting Huang, Junfeng Wu | Published: 2025-04-30
プライバシーリスク管理
差分プライバシー
透かし設計

Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?

Authors: Hao Du, Shang Liu, Yang Cao | Published: 2025-04-28 | Updated: 2025-05-01
プライバシーリスク管理
メンバーシップ開示リスク
差分プライバシー

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
プライバシー分析
公平性のトレードオフ
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
データキュレーション
差分プライバシー
攻撃手法

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
プライバシー保護
モデル性能評価
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

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

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