Privacy Foundations for Multi-Institutional Scientific Artificial Intelligence
A perspective frames scientific-AI privacy as institutional assurance, flagging scheduler telemetry and instrument side channels.
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A perspective frames scientific-AI privacy as institutional assurance, flagging scheduler telemetry and instrument side channels.
Researchers propose TAIP to continuously recompute assurance for LLM repository auditors used as CI merge gates.
ProofWeave poster proposes privacy-minimised, integrity-anchored evidence for continuous assurance of agentic AI actions.

NCSC published adversary simulation guidance and the first Cyber Adversary Simulation (CyAS) scheme documents ahead of the scheme's November 2026 launch.
Paper proposes a rupture test and RISE AI architecture for evidence-bounded responsible-AI claims, framed via EU AI Act and NIST AI RMF.
Researchers propose an evidence claim model defining which trust and audit claims agentic AI systems can support, mapping claims to mechanisms, assumptions, and threats.
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