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Adversarial Robustness in Machine Learning

56 ta ish

  1. Decoupling Evidence from Execution: A Zero-Knowledge Runtime Authority and Dynamic Refusal Protocol for Agentic AI

    Siddiqui Jameel Ahmed

    PreprintScientific Computing and Data ManagementZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  2. Authorization Architectures for AI-Driven Critical Infrastructure: Runtime Authorization for AI-Assisted Decision Systems in Nuclear and Renewable Energy Environments

    Edward Meyman

    PreprintAdversarial Robustness in Machine LearningZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  3. Authorization Architectures for AI-Driven Critical Infrastructure: Runtime Authorization for AI-Assisted Decision Systems in Nuclear and Renewable Energy Environments

    Edward Meyman

    PreprintAdversarial Robustness in Machine LearningZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  4. Model-to-Model Collision (M2MC): A Conceptual Framework for Quantifying Cross-Model Semantic Invalidation in Autonomous Multi-Vendor AI Ecosystems

    Siddiqui Jameel Ahmed

    PreprintSoftware System Performance and ReliabilityZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  5. Model-to-Model Collision (M2MC): A Conceptual Framework for Quantifying Cross-Model Semantic Invalidation in Autonomous Multi-Vendor AI Ecosystems

    Siddiqui Jameel Ahmed

    PreprintSoftware System Performance and ReliabilityZenodo (CERN European Organization for Nuclear Research)20260 iqtibos
    ABI

  6. Authorization Architectures for AI-Driven Critical Infrastructure: Runtime Authorization for AI-Assisted Decision Systems in Nuclear and Renewable Energy Environments

    Edward Meyman

    PreprintAccess Control and TrustSSRN Electronic Journal20260 iqtibos
    ABI