プライバシー分析

GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models

Authors: Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento | Published: 2025-10-20
プライバシー分析
再構成攻撃
連合学習

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis

Authors: Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng | Published: 2025-09-22
プライバシー分析
メンバーシップ推論
差分プライバシー

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics

Authors: Benjamin Sterling, Yousef El-Laham, Mónica F. Bugallo | Published: 2025-09-17
プライバシー分析
拡散モデル
生成モデル特性

Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response

Authors: Ozer Ozturk, Busra Buyuktanir, Gozde Karatas Baydogmus, Kazim Yildiz | Published: 2025-09-17
アルゴリズム
プライバシー分析
差分プライバシー

Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks

Authors: Aristeidis Sidiropoulos, Christos Chrysanthos Nikolaidis, Theodoros Tsiolakis, Nikolaos Pavlidis, Vasilis Perifanis, Pavlos S. Efraimidis | Published: 2025-08-22 | Updated: 2025-09-17
アルゴリズム
プライバシー分析
評価手法

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack

Authors: Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor Tsang, Guang Dai | Published: 2025-06-03
プライバシー分析
敵対的サンプル
透かし評価

Pr$εε$mpt: Sanitizing Sensitive Prompts for LLMs

Authors: Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan, Prasad Chalasani, Nicolas Papernot, Somesh Jha, Mihir Bellare | Published: 2025-04-07
RAG
インダイレクトプロンプトインジェクション
プライバシー分析

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

Unveiling Privacy Risks in LLM Agent Memory

Authors: Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He | Published: 2025-02-17 | Updated: 2025-06-03
プライバシー分析
プロンプトリーキング
情報漏洩の原因

Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting

Authors: Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann | Published: 2025-02-04 | Updated: 2025-05-29
プライバシー分析
差分プライバシー
情報理論的評価