OACSP-Forensics: a cross-modal selective prediction benchmark for digital forensic triage. Applies ordinal-aware class-conditional selective prediction to phishing URLs (PhishTank), malware binaries (EMBER), and memory forensics (CIC-MalMem-2022) with Daubert-aligned evaluation and coverage-risk curves for court-admissible AI triage.
benchmark reproducible-research pytorch calibration phishtank digital-forensics uncertainty-quantification human-in-the-loop memory-forensics phishing-detection malware-classification distribution-shift selective-prediction cyber-forensics cic-malmem-2022 ember-dataset forensic-triage daubert oacsp court-admissible-ai
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Updated
Jul 19, 2026 - TeX