プライバシー評価

Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile

Authors: Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa | Published: 2023-06-27
プライバシー評価
収束保証
収束特性

Privacy-Preserving Prompt Tuning for Large Language Model Services

Authors: Yansong Li, Zhixing Tan, Yang Liu | Published: 2023-05-10 | Updated: 2025-01-10
DNN IP保護手法
LLMセキュリティ
プライバシー評価

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

Authors: Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen | Published: 2023-05-10 | Updated: 2023-10-14
トレーニングデータ生成
プライバシー評価
特徴抽出手法

Differentially Private Attention Computation

Authors: Yeqi Gao, Zhao Song, Xin Yang, Yufa Zhou | Published: 2023-05-08 | Updated: 2024-10-14
DNN IP保護手法
プライバシー評価
自己注意メカニズム

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training

Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2023-05-04 | Updated: 2024-04-16
DNN IP保護手法
サンプル複雑性
プライバシー評価

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference

Authors: Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello | Published: 2023-05-01 | Updated: 2024-08-14
ウォーターマーキング
プライバシー評価
特徴抽出手法

Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions

Authors: Sajani Vithana, Zhusheng Wang, Sennur Ulukus | Published: 2023-04-27
PIRの基本概念
プライバシー評価
情報理論的プライバシー

C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference

Authors: Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel | Published: 2023-04-26
DNN IP保護手法
ウォーターマーキング
プライバシー評価

(Local) Differential Privacy has NO Disparate Impact on Fairness

Authors: Héber H. Arcolezi, Karima Makhlouf, Catuscia Palamidessi | Published: 2023-04-25 | Updated: 2023-08-01
プライバシー評価
公平性評価
最適化手法

Have it your way: Individualized Privacy Assignment for DP-SGD

Authors: Franziska Boenisch, Christopher Mühl, Adam Dziedzic, Roy Rinberg, Nicolas Papernot | Published: 2023-03-29 | Updated: 2024-01-19
カスタマイズ手法
プライバシー保護手法
プライバシー評価