AIセキュリティポータルbot

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning

Authors: Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler | Published: 2022-05-13
パフォーマンス評価
プライバシー評価
モデル選択

A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data

Authors: Nassir Mohammad | Published: 2022-05-13
ロバスト性
攻撃検出
自己教師あり学習

Collaborative Drug Discovery: Inference-level Data Protection Perspective

Authors: Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Acs | Published: 2022-05-13 | Updated: 2022-06-09
セキュアアグリゲーション
プライバシー評価
リスク分析手法

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations

Authors: Yongjie Wang, Hangwei Qian, Chunyan Miao | Published: 2022-05-13
DFLに対する攻撃手法
クエリ生成手法
攻撃手法

l-Leaks: Membership Inference Attacks with Logits

Authors: Shuhao Li, Yajie Wang, Yuanzhang Li, Yu-an Tan | Published: 2022-05-13
パフォーマンス評価
メンバーシップ推論
攻撃手法

A Comprehensive Benchmark Suite for Intel SGX

Authors: Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi | Published: 2022-05-13
TEE実装
データ生成
パフォーマンス評価

How to Combine Membership-Inference Attacks on Multiple Updated Models

Authors: Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan Ullman, Roxana Geambasu | Published: 2022-05-12
パフォーマンス評価
メンバーシップ推論
攻撃手法

Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks

Authors: Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell | Published: 2022-05-12
ロバスト回帰
耐久性問題
関数の定義

Secure Aggregation for Federated Learning in Flower

Authors: Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane | Published: 2022-05-12
トレーニングプロトコル
将来の研究
通信効率

Privacy-Preserving Distributed Machine Learning Made Faster

Authors: Zoe L. Jiang, Jiajing Gu, Hongxiao Wang, Yulin Wu, Junbin Fang, Siu-Ming Yiu, Wenjian Luo, Xuan Wang | Published: 2022-05-12
プライバシー手法
評価手法
関数の定義