Capability Manifold Surveillance: Topological Detection of Model Distillation via Activation Fingerprint Geometry

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Authors: Jeremy McEntire
Cited by: 0

Abstract

Activation fingerprint geometry repurposed as a security primitive. Detects industrial-scale model distillation attacks by monitoring the model own activation space rather than inputs, bypassing the OMED impossibility theorem. AUC 1.000 on systematic attacks at scales 1.5B+. Continuous Proof-of-Humanity scoring achieves perfect separation.

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Security and Verification in Computing Physical Unclonable Functions (PUFs) and Hardware Security

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN
Document type
Preprint