透明性と検証

Verifiable evaluations of machine learning models using zkSNARKs

Authors: Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland | Published: 2024-02-05 | Updated: 2024-05-22
モデル性能評価
透かし評価
透明性と検証
2024.02.05 2025.04.03
文献データベース

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities

Authors: Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale | Published: 2022-07-13
モデル性能評価
侵入検知システム
透明性と検証
2022.07.13 2025.04.03
文献データベース

How to Peel a Million: Validating and Expanding Bitcoin Clusters

Authors: George Kappos, Haaroon Yousaf, Rainer Stütz, Sofia Rollet, Bernhard Haslhofer, Sarah Meiklejohn | Published: 2022-05-27
データ管理システム
取引の利益やパフォーマンス
透明性と検証
2022.05.27 2025.04.03
文献データベース

Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform

Authors: M. Humayn Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan, Keyvan Ansari | Published: 2021-10-31
IoTセキュリティ
XAIの応用
透明性と検証
2021.10.31 2025.04.03
文献データベース

Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques

Authors: Dorjan Hitaj, Luigi V. Mancini | Published: 2018-09-03
バックドア攻撃
モデル抽出攻撃の検知
透明性と検証
2018.09.03 2025.04.03
文献データベース