相关实验视频

Updated: Jul 22, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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将理论转化为实践:评估基于概念的解释对生物医学AI的隐私影响

Adriano Lucieri1,2, Andreas Dengel1,2, Sheraz Ahmed1

  • 1Smart Data and Knowledge Services (SDS), Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Kaiserslautern, Germany.

Frontiers in bioinformatics
|July 24, 2023
PubMed
概括

基于概念的可解释AI (XAI) 可能会增加生物医学成像中的AI隐私风险,但在现实世界中,威胁是最小的. 提供了安全部署的建议.

关键词:
具有对抗性的机器学习.归因地图的归因地图.生物医学图像分析分析基于概念的可解释性深度学习是一种深度学习.不同的隐私差异 隐私差异可以解释的人工智能AI成员关系推断攻击

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