Facial Selfie Verification Vector & Privacy Risk Workbench

2D Facial Landmark Vector Space

Drag nodes to adjust landmark positions or tweak environmental perturbations

Nodes: 68 | DP-Perturbed: Active

Embedding Dimensions 128

Quantization Bits 8-bit

Pose Jitter (Pitch/Yaw) 0.10

Lighting Variance 0.15

Differential Privacy (ε) 2.50

Match Threshold (τ) 0.75

Biometric Privacy & Error Analysis

Real-time cosine similarity, error distributions, and breach leakage assessment

Self Match Similarity 0.8800 Target same-person video verification match

Imposter Similarity 0.3200 Cross-profile database random match mean

False Match Rate (FMR) 0.01% False Acceptance Rate (Type I Error)

False Non-Match Rate (FNMR) 1.20% False Rejection Rate (Type II Error)

Template Entropy 412.50 bits Information capacity post-quantization

Re-identification Risk 0.2400 Cross-database leak re-id probability

Similarity Distribution & Verification Boundary Threshold τ = 0.75

System Privacy Evaluation: Balanced Privacy

Current differential privacy noise (ε=2.50) successfully limits cross-database re-identification vulnerability (24.00%) while preserving standard verification performance (FNMR: 1.20%).