機械学習の応用

An Agent-Based Modeling Approach to Free-Text Keyboard Dynamics for Continuous Authentication

Authors: Roberto Dillon, Arushi | Published: 2025-05-08
タイピング行動モデル
ユーザー特性
機械学習の応用

Federated Learning for Cyber Physical Systems: A Comprehensive Survey

Authors: Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor | Published: 2025-05-08
分散型FL-CPS
機械学習の応用
連合学習

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction

Authors: Jinfeng Zhuang, Yinrui Li, Runze Su, Ke Xu, Zhixuan Shao, Kungang Li, Ling Leng, Han Sun, Meng Qi, Yixiong Meng, Yang Tang, Zhifang Liu, Qifei Shen, Aayush Mudgal, Caleb Lu, Jie Liu, Hongda Shen | Published: 2025-04-10 | Updated: 2025-04-23
ユーザー体験評価
学習の改善
機械学習の応用

Machine Learning in Access Control: A Taxonomy and Survey

Authors: Mohammad Nur Nobi, Maanak Gupta, Lopamudra Praharaj, Mahmoud Abdelsalam, Ram Krishnan, Ravi Sandhu | Published: 2022-07-04
動的アクセス制御
機械学習の応用
特徴選択手法

Large Scale Transfer Learning for Differentially Private Image Classification

Authors: Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky | Published: 2022-05-06 | Updated: 2022-05-20
プライバシー分析
プライバシー評価
機械学習の応用

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models

Authors: Weiyan Shi, Ryan Shea, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu | Published: 2022-04-15 | Updated: 2022-10-27
プライバシー保護技術
機械学習の応用
秘密検出器

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data

Authors: Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic | Published: 2022-04-14
アルゴリズム設計
データ抽出と分析
機械学習の応用

A Natural Language Processing Approach for Instruction Set Architecture Identification

Authors: Dinuka Sahabandu, Sukarno Mertoguno, Radha Poovendran | Published: 2022-04-13
データ抽出と分析
プログラム理解
機械学習の応用

Overparameterized Linear Regression under Adversarial Attacks

Authors: Antônio H. Ribeiro, Thomas B. Schön | Published: 2022-04-13 | Updated: 2023-01-27
敵対的サンプル
機械学習の応用
線形モデル

Distributed learning optimisation of Cox models can leak patient data: Risks and solutions

Authors: Carsten Brink, Christian Rønn Hansen, Matthew Field, Gareth Price, David Thwaites, Nis Sarup, Uffe Bernchou, Lois Holloway | Published: 2022-04-12
プライバシー保護技術
機械学習の応用