学習の改善

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

Authors: Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian | Published: 2022-11-08 | Updated: 2024-09-06
サイバー攻撃
モデル選択
学習の改善

Adversarial Policies Beat Superhuman Go AIs

Authors: Tony T. Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell | Published: 2022-11-01 | Updated: 2023-07-13
DNN IP保護手法
学習の改善
悪意のある行為者の分類

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21
フレームワーク
ポイズニング
学習の改善

Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning

Authors: Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, Michael Fu, John Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Phung | Published: 2022-09-20 | Updated: 2024-06-12
モデル性能評価
学習の改善
脆弱性回避手法

Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle

Authors: Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John Grundy, Hung Nguyen, Dinh Phung | Published: 2022-09-19
モデル性能評価
学習の改善
性能評価

IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective

Authors: Li Yang, Abdallah Shami | Published: 2022-09-16
IoTデータ分析タスク
アルゴリズム
学習の改善

DiVa: An Accelerator for Differentially Private Machine Learning

Authors: Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu | Published: 2022-08-26
モデル性能評価
効率性評価
学習の改善

Adversarially Robust PAC Learnability of Real-Valued Functions

Authors: Idan Attias, Steve Hanneke | Published: 2022-06-26 | Updated: 2024-05-05
アルゴリズム設計
サンプリング手法
学習の改善

Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising

Authors: Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim | Published: 2022-06-25
アルゴリズム設計
学習の改善
敵対的攻撃手法

Using Autoencoders on Differentially Private Federated Learning GANs

Authors: Gregor Schram, Rui Wang, Kaitai Liang | Published: 2022-06-24
アルゴリズム設計
学習の改善
生成モデルの課題