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FORENSIC INTEGRITY CERTIFICATE
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Certificate ID: E2B068B9B5CDC865
Issue Date: 2026-02-03 19:38:41 UTC

PROJECT INFORMATION
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Title: AI Forensics for Face Recognition Models
Author: Giovanni Scamardo
Institution: Politecnico di Torino
Academic Year: 2025/2026

EXPERIMENTAL WORK
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Total Experiments: 5
1. Baseline Performance Evaluation (10,954 samples)
2. XAI Analysis - 4 methods (1,000 samples)
3. Demographic Bias Analysis (10,954 samples)
4. Adversarial Robustness Testing (43,816 tests)
5. Backdoor Vulnerability Assessment (10,500 samples)

Dataset: FairFace (86,744 train + 10,954 val)
Model: FaceNet (InceptionResnetV1) pretrained on VGGFace2

FORENSIC AUDIT TRAIL
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System: Blockchain-style chain of custody
Algorithm: SHA-256 (NIST FIPS 180-4)
Events Logged: 91,653
Log Files: 5
Integrity: VERIFIED
Tampering: NONE DETECTED

KEY FINDINGS
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- Demographic Bias: 18.85% racial disparity (p < 0.001)
- Adversarial: 9.50% FGSM, 0.00% PGD
- Backdoor: 14.71x embedding amplification
- XAI: 100% success across all methods

CRYPTOGRAPHIC VERIFICATION
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Chain of Custody: Complete and unbroken
Hash Verification: PASSED
Timestamps: CONSISTENT
Data Integrity: CONFIRMED

CERTIFICATION STATUS
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Status: VALID
Validity: Permanent (cryptographically sealed)
Verification: Independent hash chain verification available

This certificate attests that:
1. All operations cryptographically logged
2. Blockchain-style audit trail ensures tamper evidence
3. Results reproducible via complete chain of custody
4. Methodology suitable for legal/academic scrutiny

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DIGITAL SIGNATURE (SHA-256)
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e2b068b9b5cdc8658fc62471e115ecc2dca3f4861a3a68e5f628866c3390a223
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