{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:3SMUBIMUQPYZODNKMILWDAIYKG","short_pith_number":"pith:3SMUBIMU","schema_version":"1.0","canonical_sha256":"dc9940a19483f1970daa621761811851bd74d6ad664b49489c40cdd5aac4d551","source":{"kind":"arxiv","id":"2504.12747","version":2},"attestation_state":"computed","paper":{"title":"Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Geguang Pu, Guanyu Wang, Kailong Wang, Li Li, Mingyi Zhou, Yihao Huang","submitted_at":"2025-04-17T08:39:32Z","abstract_excerpt":"The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publicly available images. While such capabilities empower various creative applications, they also introduce serious privacy concerns, as adversaries can exploit them to generate highly realistic impersonations. To counter these threats, anti-personalization methods have been proposed, which add adversarial perturbations to published images to disrupt the training of personalization models. However, existing approaches largely overlook the intrinsic mu"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.12747","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T08:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"372cc71c226be6e48d6a71de229205ec9cc4d2fd404d61165e27195c2673cc15","abstract_canon_sha256":"3683c5ae8adc96ebea68fd74d7c86bad79939f50d0a4c35f623487dc0ea6c481"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:04:40.510292Z","signature_b64":"B79AFWTODh9/ROwsx8GTVOzb8adOTzJIlbC136ZnSFXUd3w8VqA/9nrpUVvy7GMBf6NNSQo9hGe+WufkeDydCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc9940a19483f1970daa621761811851bd74d6ad664b49489c40cdd5aac4d551","last_reissued_at":"2026-05-28T02:04:40.509746Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:04:40.509746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Geguang Pu, Guanyu Wang, Kailong Wang, Li Li, Mingyi Zhou, Yihao Huang","submitted_at":"2025-04-17T08:39:32Z","abstract_excerpt":"The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publicly available images. While such capabilities empower various creative applications, they also introduce serious privacy concerns, as adversaries can exploit them to generate highly realistic impersonations. To counter these threats, anti-personalization methods have been proposed, which add adversarial perturbations to published images to disrupt the training of personalization models. However, existing approaches largely overlook the intrinsic mu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12747","kind":"arxiv","version":2},"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/2504.12747/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.12747","created_at":"2026-05-28T02:04:40.509819+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.12747v2","created_at":"2026-05-28T02:04:40.509819+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12747","created_at":"2026-05-28T02:04:40.509819+00:00"},{"alias_kind":"pith_short_12","alias_value":"3SMUBIMUQPYZ","created_at":"2026-05-28T02:04:40.509819+00:00"},{"alias_kind":"pith_short_16","alias_value":"3SMUBIMUQPYZODNK","created_at":"2026-05-28T02:04:40.509819+00:00"},{"alias_kind":"pith_short_8","alias_value":"3SMUBIMU","created_at":"2026-05-28T02:04:40.509819+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG","json":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG.json","graph_json":"https://pith.science/api/pith-number/3SMUBIMUQPYZODNKMILWDAIYKG/graph.json","events_json":"https://pith.science/api/pith-number/3SMUBIMUQPYZODNKMILWDAIYKG/events.json","paper":"https://pith.science/paper/3SMUBIMU"},"agent_actions":{"view_html":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG","download_json":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG.json","view_paper":"https://pith.science/paper/3SMUBIMU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.12747&json=true","fetch_graph":"https://pith.science/api/pith-number/3SMUBIMUQPYZODNKMILWDAIYKG/graph.json","fetch_events":"https://pith.science/api/pith-number/3SMUBIMUQPYZODNKMILWDAIYKG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG/action/storage_attestation","attest_author":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG/action/author_attestation","sign_citation":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG/action/citation_signature","submit_replication":"https://pith.science/pith/3SMUBIMUQPYZODNKMILWDAIYKG/action/replication_record"}},"created_at":"2026-05-28T02:04:40.509819+00:00","updated_at":"2026-05-28T02:04:40.509819+00:00"}