文献データベース

Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data

Authors: Gayan K. Kulatilleke, Sugandika Samarakoon | Published: 2022-08-25
不正取引
検出手法の分析
機械学習

Credit card fraud detection – Classifier selection strategy

Authors: Gayan K. Kulatilleke | Published: 2022-08-25
不正取引
機械学習
機械学習技術

Joint Privacy Enhancement and Quantization in Federated Learning

Authors: Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger | Published: 2022-08-23
プライバシー侵害
分散学習の効率
通信効率

Decentralized Collaborative Learning with Probabilistic Data Protection

Authors: Tsuyoshi Idé, Rudy Raymond | Published: 2022-08-23 | Updated: 2022-08-24
プライバシー侵害
分散学習の効率
収束保証

ABL: An original active blacklist based on a modification of the SMTP

Authors: Pablo M. Oliveira, Mateus B. Vieira, Isaac C. Ferreira, João P. R. R. Leite, Edvard M. Oliveira, Bruno T. Kuehne, Edmilson M. Moreira, Otávio A. S. Carpinteiro | Published: 2022-08-22
スパム対策
メールセキュリティ
機械学習

Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models

Authors: Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang | Published: 2022-08-22
ポイズニング
メンバーシップ推論
メンバーシップ開示リスク

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Authors: Alexander Unnervik, Sébastien Marcel | Published: 2022-08-22
バックドア攻撃
攻撃検出
顔認識システム

Machine Learning with Confidential Computing: A Systematization of Knowledge

Authors: Fan Mo, Zahra Tarkhani, Hamed Haddadi | Published: 2022-08-22 | Updated: 2024-06-03
TEE実装
データ保護手法
メンバーシップ推論

Inferring Sensitive Attributes from Model Explanations

Authors: Vasisht Duddu, Antoine Boutet | Published: 2022-08-21 | Updated: 2022-09-07
プライバシーリスク管理
メンバーシップ推論
攻撃シナリオ分析

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network

Authors: Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu | Published: 2022-08-21 | Updated: 2023-04-25
ポイズニング
分散学習の効率
機械学習技術