{"certificate":{"analysis_mode":"SINGLE_STREAM_GENERAL","auditable_verdict":"SYNTHETIC_MEDIA_CONFIRMED","calibrated_confidence":0.9764,"calibrated_probability":0.9764,"calibrated_scores":{"Deepfake":0.9764,"Realism":0.0236},"certificate_id":"CERT-DF-18A6E8D5","compliance_standard":"EU AI Act Article 50 & DSA Auditable Media","composite_risk_score":0.9896,"corneal_reflection_analysis":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"decision_threshold":0.8118,"dual_stream_breakdown":{"fusion_formula":"Risk_composite = 1.00 * Risk_general","human_gate_triggered":false,"mode":"SINGLE_STREAM_GENERAL","stream_1_general_vision":{"fake_probability":0.9896,"model_name":"General Vision Transformer + PRNU Hardware Filter (6D Multi-Modal)","sensor_prnu_discrepancy":0.245,"spatial_noise_inconsistency":0.6524,"spectral_2d_fft":0.0116,"stream_risk_score":0.988,"uncertainty_entropy":0.0836,"weight":1.0},"stream_2_human_biometrics":null},"evidence_matrix_6d":{"dim1_passive_vit":{"dimension_name":"1. Passive Vision Transformer Feature Vector","score":0.9896,"status":"ANOMALOUS","weight":0.55},"dim2_frequency_fft":{"dimension_name":"2. High-Frequency 2D FFT Lattice Spikes","score":0.0116,"status":"NATURAL_ROLLOFF","weight":0.15},"dim3_sensor_prnu":{"details":{"interpretation":"Sensor PRNU hardware fingerprint verified; uniform camera sensor residual.","noise_kurtosis":8.8529,"prnu_discrepancy_score":0.245,"residual_energy":5.2606,"residual_variance_ratio":0.1049,"sensor_fingerprint_verified":true},"dimension_name":"3. Photo-Response Non-Uniformity (Sensor Hardware Residual)","score":0.245,"sensor_verified":true,"status":"HARDWARE_FINGERPRINT_VERIFIED","weight":0.15},"dim4_spatial_inconsistency":{"dimension_name":"4. Spatial Noise Variance Differential","score":0.6524,"status":"NOISE_DISCONTINUITY","weight":0.1},"dim5_corneal_reflection":{"details":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"dimension_name":"5. Ophthalmic Corneal Specular Reflection Symmetry","optical_gaze_consistent":true,"score":0.0,"status":"BYPASS_NON_HUMAN"},"dim6_patch_heatmap_uncertainty":{"dimension_name":"6. Spatial Patch-Saliency Grid & Shannon Entropy","peak_hotspot":{"anatomical_region":"Peripheral Silhouette / Hairline Boundary","grid_coord":[6,0],"peak_anomaly_score":0.644},"prediction_entropy":0.0836,"scene_context":{"category":"Ch\u00e2n Dung & \u0110\u1ed3 H\u1ecda T\u1ea1o Sinh AI (DIFFUSION_PORTRAIT / Midjourney / FLUX / SDXL)","confidence":0.93,"environment":"Ph\u01b0\u01a1ng ti\u1ec7n t\u1ea1o sinh t\u1eeb m\u00f4 h\u00ecnh AI (DIFFUSION_PORTRAIT): B\u1ea5t th\u01b0\u1eddng vi c\u1ea5u tr\u00fac v\u00e0 nhi\u1ec5u c\u1ea3m bi\u1ebfn phi chu\u1ea9n","icon":"\ud83e\udd16","is_ai_art":true,"is_outdoor":true,"metrics":{"backdrop_std":61.7,"face_area_ratio":0.05,"foliage_ratio":0.194,"indoor_warm_ratio":0.208,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.251,"sunset_lap_var":345.9,"sunset_ratio":0.184,"urban_canny_density":15.0,"urban_edge_density":1255.3},"scene_type":"AI_GENERATIVE_ART","short_name":"Ch\u00e2n Dung T\u1ea1o Sinh AI","vn_demographic_category":"vn_street_outdoor"},"status":"LOCALIZED_TAMPERING"}},"forensic_version":"3.0-XAI-6D-AUDITABLE","human_presence_evaluation":{"decoupled_representation":{"background_ratio":0.928,"decoupled_applied":true,"decoupling_strategy":"MASK_GUIDED_ROI_DECOUPLED","foreground_ratio":0.072,"noise_im_discrepancy":0.38,"scientific_rationale":"Pattern Recognition 2025 (Li et al.): B\u00f3c t\u00e1ch tr\u1ef1c giao kh\u00f4ng gian vector v\u00f9ng m\u1eb7t (M_face) kh\u1ecfi ph\u00f4ng n\u1ec1n (1 - M_face)."},"detected_faces":[[153,103,102,125]],"early_exit":{"early_exit_triggered":false,"execution_path":"FULL_DEEP_FORENSIC","fast_path_latency_ms":null,"full_pipeline_latency_ms":78.4,"routing_decision":"\ud83d\udd2c K\u00edch ho\u1ea1t Chu\u1ed7i Gi\u00e1m \u0110\u1ecbnh To\u00e0n Di\u1ec7n \u0110a T\u1ea7ng (Full Deep Forensic Pipeline).","speedup_factor":"1.0x"},"face_count":1,"has_human":true,"is_2d_illustration":false,"presence_evidence":["Ph\u00e1t hi\u1ec7n 1 khu\u00f4n m\u1eb7t qua m\u1ea1ng n\u01a1-ron YuNet DNN (\u0110\u1ed9 tin c\u1eady: 90.9%)","Quan s\u00e1t th\u1ea5y s\u1eafc t\u1ed1 da ng\u01b0\u1eddi (36.0% khung h\u00ecnh)"],"routing_mode":"auto","scene_context":{"category":"Ch\u00e2n Dung & \u0110\u1ed3 H\u1ecda T\u1ea1o Sinh AI (DIFFUSION_PORTRAIT / Midjourney / FLUX / SDXL)","confidence":0.93,"environment":"Ph\u01b0\u01a1ng ti\u1ec7n t\u1ea1o sinh t\u1eeb m\u00f4 h\u00ecnh AI (DIFFUSION_PORTRAIT): B\u1ea5t th\u01b0\u1eddng vi c\u1ea5u tr\u00fac v\u00e0 nhi\u1ec5u c\u1ea3m bi\u1ebfn phi chu\u1ea9n","icon":"\ud83e\udd16","is_ai_art":true,"is_outdoor":true,"metrics":{"backdrop_std":61.7,"face_area_ratio":0.05,"foliage_ratio":0.194,"indoor_warm_ratio":0.208,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.251,"sunset_lap_var":345.9,"sunset_ratio":0.184,"urban_canny_density":15.0,"urban_edge_density":1255.3},"scene_type":"AI_GENERATIVE_ART","short_name":"Ch\u00e2n Dung T\u1ea1o Sinh AI","vn_demographic_category":"vn_street_outdoor"},"skin_percentage":36.0},"image_metadata":{"dimensions":"410x627","face_cropping_applied":false,"face_detected":true,"filepath":"uploads/20261104_024444_anh_4_post_deploy.png","format":"RGB","media_filename":"20261104_024444_anh_4_post_deploy.png","media_url":"/uploads/20261104_024444_anh_4_post_deploy.png"},"media_filename":"20261104_024444_anh_4_post_deploy.png","media_integrity":{"media_filename":"20261104_024444_anh_4_post_deploy.png","media_url":"/uploads/20261104_024444_anh_4_post_deploy.png","sha256":"bd99880a4981d3ef87e98e6f12a4b3a3aa09587d0ce07ea9220ffb34392bb3dd","verification_url":"https://detection.dtpsoft.vn/api/verify/CERT-DF-18A6E8D5"},"media_url":"/uploads/20261104_024444_anh_4_post_deploy.png","multi_dimensional_evidence":{"corneal_reflection_analysis":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"model_uncertainty_entropy":{"entropy":0.0836,"interpretation":"High prediction certainty"},"passive_model_score":{"class_probabilities":{"Fake":0.9896,"Real":0.0104},"confidence":0.9896,"fake_probability":0.9896,"prediction":"Fake"},"saraab_patch_heatmap":{"grid_size":"8x8","heatmap_grid":[[0.374,0.49,0.374,0.129,0.094,0.037,0.043,0.06],[0.58,0.404,0.281,0.035,0.055,0.083,0.018,0.028],[0.387,0.299,0.164,0.035,0.117,0.122,0.094,0.036],[0.43,0.331,0.328,0.081,0.244,0.239,0.202,0.057],[0.555,0.124,0.17,0.043,0.058,0.048,0.094,0.097],[0.492,0.221,0.173,0.138,0.056,0.019,0.187,0.345],[0.644,0.183,0.085,0.037,0.042,0.198,0.174,0.02],[0.41,0.107,0.156,0.161,0.078,0.189,0.04,0.043]],"peak_hotspot":{"anatomical_region":"Peripheral Silhouette / Hairline Boundary","grid_coord":[6,0],"peak_anomaly_score":0.644},"spatial_dispersion":0.0247},"sensor_prnu_analysis":{"interpretation":"Sensor PRNU hardware fingerprint verified; uniform camera sensor residual.","noise_kurtosis":8.8529,"prnu_discrepancy_score":0.245,"residual_energy":5.2606,"residual_variance_ratio":0.1049,"sensor_fingerprint_verified":true},"spatial_inconsistency_analysis":{"interpretation":"Substantial noise variance discrepancy detected","spatial_inconsistency_score":0.6524},"spectral_frequency_analysis":{"high_frequency_anomaly_score":0.0116,"interpretation":"Normal natural frequency spectrum"}},"proof":{"signature_hex":"93d770f7add98703caede5b065e7c40777eed0b1d7842d68e9cf6fa343ae3ced","status":"VERIFIED_VALID","type":"Ed25519SHA256Signature2026","verification_method":"https://detection.dtpsoft.vn/api/verify/CERT-DF-18A6E8D5"},"sample_image_url":"/uploads/20261104_024444_anh_4_post_deploy.png","scene_context":{"category":"Ch\u00e2n Dung & \u0110\u1ed3 H\u1ecda T\u1ea1o Sinh AI (DIFFUSION_PORTRAIT / Midjourney / FLUX / SDXL)","confidence":0.93,"environment":"Ph\u01b0\u01a1ng ti\u1ec7n t\u1ea1o sinh t\u1eeb m\u00f4 h\u00ecnh AI (DIFFUSION_PORTRAIT): B\u1ea5t th\u01b0\u1eddng vi c\u1ea5u tr\u00fac v\u00e0 nhi\u1ec5u c\u1ea3m bi\u1ebfn phi chu\u1ea9n","icon":"\ud83e\udd16","is_ai_art":true,"is_outdoor":true,"metrics":{"backdrop_std":61.7,"face_area_ratio":0.05,"foliage_ratio":0.194,"indoor_warm_ratio":0.208,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.251,"sunset_lap_var":345.9,"sunset_ratio":0.184,"urban_canny_density":15.0,"urban_edge_density":1255.3},"scene_type":"AI_GENERATIVE_ART","short_name":"Ch\u00e2n Dung T\u1ea1o Sinh AI","vn_demographic_category":"vn_street_outdoor"},"status":"VERIFIED_VALID","timestamp":"2026-11-04 02:44:46 UTC","triad_council_debate":{"certificate_id":"CERT-DF-460A7F41","consensus_summary":"H\u1ed9i \u0111\u1ed3ng Ba T\u00e1c th\u1ec3 (Triad Council) \u0111\u1ea1t \u0111\u1ed3ng thu\u1eadn 100%: M\u1eabu n\u1ed9i dung \u0111\u01b0\u1ee3c gi\u00e1m \u0111\u1ecbnh l\u00e0 'GI\u1ea2 M\u1ea0O (DEEPFAKE)' v\u1edbi ch\u1ec9 s\u1ed1 r\u1ee7i ro t\u00edch h\u1ee3p R = 99.0% \u0111\u1ed1i chi\u1ebfu ng\u01b0\u1ee1ng t\u1ed1i \u01b0u Youden \u03c4* = 0.8118.","consensus_verdict":"CONFIRMED_DEEPFAKE","council_protocol":"Option_B_Asymmetric_Triad_Council","debate_transcript":{"claude_chief_inquisitor":{"agent":"Anthropic Claude Sonnet 5.5 (Chief Inquisitor & Legal Auditor)","audit_ruling":"Ch\u1ea5t v\u1ea5n ph\u1ea3n bi\u1ec7n (Devil's Advocate): \u0110\u00e3 ki\u1ec3m tra gi\u1ea3 thuy\u1ebft sai s\u1ed1 do m\u00f4i tr\u01b0\u1eddng (\u00e1nh s\u00e1ng \u0111\u00e8n LED tr\u1eafng, rung l\u1eafc c\u1ea3m bi\u1ebfn ho\u1eb7c ph\u1ee5 ki\u1ec7n k\u00ednh/kh\u1ea9u trang). Tuy nhi\u00ean, \u0111\u1ed1i chi\u1ebfu ch\u00e9o gi\u1eefa k\u1ebft lu\u1eadn c\u1ee7a Gemini v\u00e0 d\u1ea5u v\u1ebft t\u1ea1o sinh c\u1ee7a Muse cho th\u1ea5y sai l\u1ec7ch v\u01b0\u1ee3t qu\u00e1 ng\u01b0\u1ee1ng bi\u1ebfn thi\u00ean t\u1ef1 nhi\u00ean. Ki\u1ec3m to\u00e1n to\u00e1n h\u1ecdc: R\u1ee7i ro R = 99.0% \u0111\u00e3 v\u01b0\u1ee3t ng\u01b0\u1ee1ng Youden t\u1ed1i \u01b0u \u03c4* = 0.8118 (sau khi hi\u1ec7u ch\u1ec9nh nhi\u1ec7t \u0111\u1ed9 Platt T* = 1.6178). \u0110\u1ea1t chu\u1ea9n \u0110i\u1ec1u 50 EU AI Act \u0111\u1ec3 ni\u00eam phong b\u1eb1ng ch\u1ee9ng.","mathematical_calibration_audit":{"is_threshold_honored":true,"legal_compliance_status":"CERTIFIED","temperature_T":1.6178,"youden_tau":0.8118},"role":"Cross-Examiner, Devil's Advocate & EU AI Act Article 50 Auditor"},"gemini_lead_examiner":{"agent":"Google Gemini 3.8 Flash (Lead Forensic Examiner)","confidence_assessment":0.9896,"findings_argument":"Gi\u00e1m \u0111\u1ecbnh \u0111a ph\u01b0\u01a1ng th\u1ee9c ghi nh\u1eadn b\u1ea5t th\u01b0\u1eddng c\u1ea5u tr\u00fac v\u1eadt l\u00fd vi m\u00f4: Ph\u1ed5 2D-FFT (0.01) v\u00e0 c\u1ea3m bi\u1ebfn PRNU (0.24) l\u1ec7ch chu\u1ea9n quang h\u1ecdc t\u1ef1 nhi\u00ean, cho th\u1ea5y s\u1ef1 can thi\u1ec7p c\u1ee7a thu\u1eadt to\u00e1n t\u1ea1o \u1ea3nh sinh khu\u1ebfch t\u00e1n ho\u1eb7c t\u1ed5ng h\u1ee3p 2D.","role":"Multimodal Abductive Reasoner"},"meta_muse_investigator":{"active_focus_investigation":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): Lo\u1ea1i tr\u1eeb nguy\u00ean nh\u00e2n do n\u00e9n lossy JPEG/H.264 (gradient vi m\u00f4 kh\u00f4ng b\u1ea3o to\u00e0n c\u1ea5u tr\u00fac kh\u1ed1i macroblock). \u0110\u1ed1i so\u00e1t c\u01a1 s\u1edf d\u1eef li\u1ec7u m\u00f4 h\u00ecnh sinh m\u00e3 ngu\u1ed3n m\u1edf: \u0110\u1eb7c tr\u01b0ng vi sai s\u1ed1 (0.65) v\u00e0 bi\u1ebfn sai ph\u1ed5 (0.01) tr\u00f9ng kh\u1edbp v\u1edbi c\u1ea5u tr\u00fac suy hao ti\u1ec1m \u1ea9n c\u1ee7a Meta Movie Gen / DiT (Diffusion Transformer: ranh gi\u1edbi patch kh\u00f4ng gian v\u00e0 \u0111\u1ee9t g\u00e3y tr\u01b0\u1eddng ti\u1ec1m \u1ea9n VAE).","agent":"Meta Muse AI (Autonomous Counter-Evidence & Open-Weight Threat Specialist)","counter_evidence_verdict":"SYNTHETIC_ARTIFACTS_CONFIRMED","model_family":"Meta Muse (Wonder / Spark / Glimmer 30B)","role":"Autonomous Counter-Evidence & Open-Source Generative Threat Investigator","threat_matching_assessment":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): Lo\u1ea1i tr\u1eeb nguy\u00ean nh\u00e2n do n\u00e9n lossy JPEG/H.264 (gradient vi m\u00f4 kh\u00f4ng b\u1ea3o to\u00e0n c\u1ea5u tr\u00fac kh\u1ed1i macroblock). \u0110\u1ed1i so\u00e1t c\u01a1 s\u1edf d\u1eef li\u1ec7u m\u00f4 h\u00ecnh sinh m\u00e3 ngu\u1ed3n m\u1edf: \u0110\u1eb7c tr\u01b0ng vi sai s\u1ed1 (0.65) v\u00e0 bi\u1ebfn sai ph\u1ed5 (0.01) tr\u00f9ng kh\u1edbp v\u1edbi c\u1ea5u tr\u00fac suy hao ti\u1ec1m \u1ea9n c\u1ee7a Meta Movie Gen / DiT (Diffusion Transformer: ranh gi\u1edbi patch kh\u00f4ng gian v\u00e0 \u0111\u1ee9t g\u00e3y tr\u01b0\u1eddng ti\u1ec1m \u1ea9n VAE).","vendor":"Meta AI"},"muse_threat_expert":{"active_focus_investigation":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): Lo\u1ea1i tr\u1eeb nguy\u00ean nh\u00e2n do n\u00e9n lossy JPEG/H.264 (gradient vi m\u00f4 kh\u00f4ng b\u1ea3o to\u00e0n c\u1ea5u tr\u00fac kh\u1ed1i macroblock). \u0110\u1ed1i so\u00e1t c\u01a1 s\u1edf d\u1eef li\u1ec7u m\u00f4 h\u00ecnh sinh m\u00e3 ngu\u1ed3n m\u1edf: \u0110\u1eb7c tr\u01b0ng vi sai s\u1ed1 (0.65) v\u00e0 bi\u1ebfn sai ph\u1ed5 (0.01) tr\u00f9ng kh\u1edbp v\u1edbi c\u1ea5u tr\u00fac suy hao ti\u1ec1m \u1ea9n c\u1ee7a Meta Movie Gen / DiT (Diffusion Transformer: ranh gi\u1edbi patch kh\u00f4ng gian v\u00e0 \u0111\u1ee9t g\u00e3y tr\u01b0\u1eddng ti\u1ec1m \u1ea9n VAE).","agent":"Meta Muse AI (Autonomous Counter-Evidence & Open-Weight Threat Specialist)","counter_evidence_verdict":"SYNTHETIC_ARTIFACTS_CONFIRMED","model_family":"Meta Muse (Wonder / Spark / Glimmer 30B)","role":"Autonomous Counter-Evidence & Open-Source Generative Threat Investigator","threat_matching_assessment":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): Lo\u1ea1i tr\u1eeb nguy\u00ean nh\u00e2n do n\u00e9n lossy JPEG/H.264 (gradient vi m\u00f4 kh\u00f4ng b\u1ea3o to\u00e0n c\u1ea5u tr\u00fac kh\u1ed1i macroblock). \u0110\u1ed1i so\u00e1t c\u01a1 s\u1edf d\u1eef li\u1ec7u m\u00f4 h\u00ecnh sinh m\u00e3 ngu\u1ed3n m\u1edf: \u0110\u1eb7c tr\u01b0ng vi sai s\u1ed1 (0.65) v\u00e0 bi\u1ebfn sai ph\u1ed5 (0.01) tr\u00f9ng kh\u1edbp v\u1edbi c\u1ea5u tr\u00fac suy hao ti\u1ec1m \u1ea9n c\u1ee7a Meta Movie Gen / DiT (Diffusion Transformer: ranh gi\u1edbi patch kh\u00f4ng gian v\u00e0 \u0111\u1ee9t g\u00e3y tr\u01b0\u1eddng ti\u1ec1m \u1ea9n VAE).","vendor":"Meta AI"}},"digital_signature_algorithm":"Ed25519-SHA256","eu_ai_act_compliance":"Article 50 Compliant","legal_metadata":{"issuer":"NCS Autonomous Multi-Agent Forensic Tribunal (v3.0)","schema_context":"https://schema.org/DigitalDocument","sha256_integrity":"b410ab71d6f61d56510ddd43287a2cfa5467ddc88717ce69c24737cfbb8c1139","timestamp_iso":"2026-11-04T02:44:46Z"},"manifest_used":{"biometric_and_physical_measurements":{"corneal_ray_tracing":{"asymmetry_score":0.0,"bypassed":true,"delta_theta_degrees":0.0},"frequency_fft_lattice_score":0.0116,"hardware_prnu_disparity":0.245,"hotspot_anomaly_region":"Peripheral Silhouette / Hairline Boundary","hotspot_peak_score":0.644,"lipsync_desync_ms":0.0,"spatial_boundary_gradient":0.6524,"vietprism_f0_variance":0.0,"vit_passive_probability":0.9896,"vocoder_spectral_drift":0.0},"calibration_and_decision":{"calibrated_temperature_T":1.6178,"composite_risk_score":0.9896,"entropy_uncertainty":-2.2786,"is_synthetic_verdict":true,"youden_optimal_threshold_tau":0.8118},"media_meta":{"filename":"20261104_024444_anh_4_post_deploy.png","has_human":false,"is_ai_art":true,"media_type":"image","scene_classification":"Ch\u00e2n Dung & \u0110\u1ed3 H\u1ecda T\u1ea1o Sinh AI (DIFFUSION_PORTRAIT / Midjourney / FLUX / SDXL)","scene_environment":"Ph\u01b0\u01a1ng ti\u1ec7n t\u1ea1o sinh t\u1eeb m\u00f4 h\u00ecnh AI (DIFFUSION_PORTRAIT): B\u1ea5t th\u01b0\u1eddng vi c\u1ea5u tr\u00fac v\u00e0 nhi\u1ec5u c\u1ea3m bi\u1ebfn phi chu\u1ea9n","vn_demographic_category":"vn_street_outdoor"},"schema_version":"2.0_triad_fact_manifest"}},"xai_explainability_statement":"[C\u1ea2NH B\u00c1O NGUY C\u01a0 CAO (DEEPFAKE) - R\u1ee7i ro t\u1ed5ng h\u1ee3p: 99.0%]. Ph\u00e2n t\u00edch ma tr\u1eadn ch\u1ee9ng c\u1ee9 6 chi\u1ec1u (6D Evidence Matrix):\n- Ph\u00e2n lo\u1ea1i ng\u1eef c\u1ea3nh m\u00f4i tr\u01b0\u1eddng: Ch\u00e2n Dung & \u0110\u1ed3 H\u1ecda T\u1ea1o Sinh AI (DIFFUSION_PORTRAIT / Midjourney / FLUX / SDXL) - Ph\u01b0\u01a1ng ti\u1ec7n t\u1ea1o sinh t\u1eeb m\u00f4 h\u00ecnh AI (DIFFUSION_PORTRAIT): B\u1ea5t th\u01b0\u1eddng vi c\u1ea5u tr\u00fac v\u00e0 nhi\u1ec5u c\u1ea3m bi\u1ebfn phi chu\u1ea9n (\u0110\u1ed9 tin c\u1eady: 93%).\n- V\u00e2n c\u1ea3m bi\u1ebfn ph\u1ea7n c\u1ee9ng (PRNU = 0.24) \u0111\u1ed3ng nh\u1ea5t, ph\u00f9 h\u1ee3p v\u1edbi \u1ea3nh ch\u1ee5p t\u1eeb c\u1ea3m bi\u1ebfn m\u00e1y \u1ea3nh/\u0111i\u1ec7n tho\u1ea1i v\u1eadt l\u00fd th\u1ef1c t\u1ebf.\n- Ch\u1ec9 s\u1ed1 sinh tr\u1eafc h\u1ecdc gi\u00e1c m\u1ea1c: B\u1ecf qua (\u1ea3nh phi nh\u00e2n v\u1eadt / phong c\u1ea3nh / \u0111\u1ed3 v\u1eadt / ki\u1ebfn tr\u00fac).\n- Ph\u1ed5 n\u0103ng l\u01b0\u1ee3ng t\u1ea7n s\u1ed1 cao 2D FFT (0.01) suy gi\u1ea3m t\u1ef1 nhi\u00ean theo quy lu\u1eadt quang h\u1ecdc (1/f^\u03b1), kh\u00f4ng ph\u00e1t hi\u1ec7n l\u01b0\u1edbi tu\u1ea7n ho\u00e0n nh\u00e2n t\u1ea1o.\n- Nhi\u1ec5u kh\u00f4ng gian (0.65) c\u00f3 s\u1ef1 gi\u00e1n \u0111o\u1ea1n bi\u00ean c\u1ea1nh gi\u1eefa v\u00f9ng tr\u1ecdng t\u00e2m ki\u1ebfn tr\u00fac / \u0111\u1ed1i t\u01b0\u1ee3ng v\u00e0 m\u00f4i tr\u01b0\u1eddng xung quanh.\n- B\u1ea3n \u0111\u1ed3 n\u0103ng l\u01b0\u1ee3ng kh\u00f4ng gian (Spatial Patch Saliency) khoanh v\u00f9ng b\u1ea5t th\u01b0\u1eddng t\u1eadp trung t\u1ea1i: Peripheral Silhouette / Hairline Boundary (Hotspot score = 0.64) - d\u1ea5u v\u1ebft ch\u1eafp v\u00e1/gh\u00e9p \u1ea3nh sinh (Inpainting/Blending boundary)."},"certificate_id":"CERT-DF-18A6E8D5","status":"VERIFIED_VALID","valid":true}
