{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KKDVNUGKGGABLKN6V3YLSHIKBZ","short_pith_number":"pith:KKDVNUGK","canonical_record":{"source":{"id":"2404.16255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-24T23:56:03Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"1e0c7a019c4d0f77e4e14412a43c06a06dd0aba0dd56a569d77940e3f7ffdabd","abstract_canon_sha256":"71363c961e954d2803289e021e4c349d44d7359dbedc1135fe103db8356f8b87"},"schema_version":"1.0"},"canonical_sha256":"528756d0ca318015a9beaef0b91d0a0e5fe7d7f24ed3c6b4ceed3eb7248ce8d9","source":{"kind":"arxiv","id":"2404.16255","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16255","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16255v1","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16255","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_12","alias_value":"KKDVNUGKGGAB","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_16","alias_value":"KKDVNUGKGGABLKN6","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_8","alias_value":"KKDVNUGK","created_at":"2026-07-05T08:12:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KKDVNUGKGGABLKN6V3YLSHIKBZ","target":"record","payload":{"canonical_record":{"source":{"id":"2404.16255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-24T23:56:03Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"1e0c7a019c4d0f77e4e14412a43c06a06dd0aba0dd56a569d77940e3f7ffdabd","abstract_canon_sha256":"71363c961e954d2803289e021e4c349d44d7359dbedc1135fe103db8356f8b87"},"schema_version":"1.0"},"canonical_sha256":"528756d0ca318015a9beaef0b91d0a0e5fe7d7f24ed3c6b4ceed3eb7248ce8d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:03.623515Z","signature_b64":"L4pYujJb6fhIm3wl8MxarEi8eHrrl8ZdGUmA8QchyGu3DPnQgKoEbic/+CzWJBxor/9eZdNoI/o6lw07x26XDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"528756d0ca318015a9beaef0b91d0a0e5fe7d7f24ed3c6b4ceed3eb7248ce8d9","last_reissued_at":"2026-07-05T08:12:03.623080Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:03.623080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.16255","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:12:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ovvbeYr3IjEZQlk3pJcxTzyrcFmIVbvF4VX4Nt48Fonsf1350TI2GlPVQo6VJnHoyzolh32Ac58Ibaf62HXaAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:44:33.142088Z"},"content_sha256":"b837d3a1e484e9f95d827c3efd758ead1baf6352b37f2977cf7bdc2dfe3dfda1","schema_version":"1.0","event_id":"sha256:b837d3a1e484e9f95d827c3efd758ead1baf6352b37f2977cf7bdc2dfe3dfda1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KKDVNUGKGGABLKN6V3YLSHIKBZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CR","authors_text":"Arjun Ramesh Kaushik, Arun Ross, Bharat Yalavarthi, Nalini Ratha, Vishnu Boddeti","submitted_at":"2024-04-24T23:56:03Z","abstract_excerpt":"Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templates in a face recognition system. These embeddings are susceptible to data leakage and, in some cases, can even be used to reconstruct the original face image. To prevent compromising identities, template protection schemes are commonly employed. However, these schemes may still not prevent the leakage of soft biometric information such as age, gender and race. To alleviate this issue, we propose a novel technique t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16255","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.16255/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:12:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JPgXO0uc9xRZ4OWkxZh0u9g2Uo8qqzfF3dSZylNqeyxheaSjOqRlGYtVsC6D/QSM1E0Efe3VY71vI+iUMs1HBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:44:33.143069Z"},"content_sha256":"703d8959c74df61717d7e8f466775e37e6e240236fdce034587e4338da868272","schema_version":"1.0","event_id":"sha256:703d8959c74df61717d7e8f466775e37e6e240236fdce034587e4338da868272"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/bundle.json","state_url":"https://pith.science/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T22:44:33Z","links":{"resolver":"https://pith.science/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ","bundle":"https://pith.science/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/bundle.json","state":"https://pith.science/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKDVNUGKGGABLKN6V3YLSHIKBZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KKDVNUGKGGABLKN6V3YLSHIKBZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"71363c961e954d2803289e021e4c349d44d7359dbedc1135fe103db8356f8b87","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-24T23:56:03Z","title_canon_sha256":"1e0c7a019c4d0f77e4e14412a43c06a06dd0aba0dd56a569d77940e3f7ffdabd"},"schema_version":"1.0","source":{"id":"2404.16255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16255","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16255v1","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16255","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_12","alias_value":"KKDVNUGKGGAB","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_16","alias_value":"KKDVNUGKGGABLKN6","created_at":"2026-07-05T08:12:03Z"},{"alias_kind":"pith_short_8","alias_value":"KKDVNUGK","created_at":"2026-07-05T08:12:03Z"}],"graph_snapshots":[{"event_id":"sha256:703d8959c74df61717d7e8f466775e37e6e240236fdce034587e4338da868272","target":"graph","created_at":"2026-07-05T08:12:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2404.16255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templates in a face recognition system. These embeddings are susceptible to data leakage and, in some cases, can even be used to reconstruct the original face image. To prevent compromising identities, template protection schemes are commonly employed. However, these schemes may still not prevent the leakage of soft biometric information such as age, gender and race. To alleviate this issue, we propose a novel technique t","authors_text":"Arjun Ramesh Kaushik, Arun Ross, Bharat Yalavarthi, Nalini Ratha, Vishnu Boddeti","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-24T23:56:03Z","title":"Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16255","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b837d3a1e484e9f95d827c3efd758ead1baf6352b37f2977cf7bdc2dfe3dfda1","target":"record","created_at":"2026-07-05T08:12:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"71363c961e954d2803289e021e4c349d44d7359dbedc1135fe103db8356f8b87","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-24T23:56:03Z","title_canon_sha256":"1e0c7a019c4d0f77e4e14412a43c06a06dd0aba0dd56a569d77940e3f7ffdabd"},"schema_version":"1.0","source":{"id":"2404.16255","kind":"arxiv","version":1}},"canonical_sha256":"528756d0ca318015a9beaef0b91d0a0e5fe7d7f24ed3c6b4ceed3eb7248ce8d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"528756d0ca318015a9beaef0b91d0a0e5fe7d7f24ed3c6b4ceed3eb7248ce8d9","first_computed_at":"2026-07-05T08:12:03.623080Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:03.623080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L4pYujJb6fhIm3wl8MxarEi8eHrrl8ZdGUmA8QchyGu3DPnQgKoEbic/+CzWJBxor/9eZdNoI/o6lw07x26XDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:03.623515Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b837d3a1e484e9f95d827c3efd758ead1baf6352b37f2977cf7bdc2dfe3dfda1","sha256:703d8959c74df61717d7e8f466775e37e6e240236fdce034587e4338da868272"],"state_sha256":"dbbf1c25ca3bb0da9f56ababde8a008228b116df46b00f4aed21dfe0421da60e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fHPP54cATf4aMRmjJhlQVHYez0ll8iH7QKbHuzeXkprOncgdqo+XytmDpLsHKNYMSiizjJU3QFN5xSYnKuXBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T22:44:33.190086Z","bundle_sha256":"f503745d0b80a0a1bfa216b216675e8d42377780decbc4932ca2ad9ffda2a77b"}}