{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:LMHWEFSWAJSA2T6SILPUBEN55F","short_pith_number":"pith:LMHWEFSW","schema_version":"1.0","canonical_sha256":"5b0f62165602640d4fd242df4091bde950a2a95b45dee03138ce3046d825001a","source":{"kind":"arxiv","id":"2305.10701","version":3},"attestation_state":"computed","paper":{"title":"Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Felix Juefei-Xu, Geguang Pu, Jie Zhang, Ming Hu, Qing Guo, Tianlin Li, Yang Liu, Yihao Huang, Yutong Wu","submitted_at":"2023-05-18T04:28:47Z","abstract_excerpt":"Although recent personalization methods have democratized high-resolution image synthesis by enabling swift concept acquisition with minimal examples and lightweight computation, they also present an exploitable avenue for high accessible backdoor attacks. This paper investigates a critical and unexplored aspect of text-to-image (T2I) diffusion models - their potential vulnerability to backdoor attacks via personalization. Our study focuses on a zero-day backdoor vulnerability prevalent in two families of personalization methods, epitomized by Textual Inversion and DreamBooth.Compared to tradi"},"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":"2305.10701","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T04:28:47Z","cross_cats_sorted":[],"title_canon_sha256":"6956a69ceb1c5a6efbd0c35d3f145edd7f7e78be5911540ab3aea10d04121755","abstract_canon_sha256":"c42fe94c8b96412e2f0ade7af6c98eb5a222207f2194863421570cf5e64399bd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:14.129299Z","signature_b64":"y6Y6gSm6Q1hCiN1PlYmgPF+tewj+dE10wbxGQQOItekr5KTv0+Z0tjJoCgcd1mhGD+2kGOS8WoxybUTpQkoQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b0f62165602640d4fd242df4091bde950a2a95b45dee03138ce3046d825001a","last_reissued_at":"2026-07-05T07:26:14.128794Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:14.128794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Felix Juefei-Xu, Geguang Pu, Jie Zhang, Ming Hu, Qing Guo, Tianlin Li, Yang Liu, Yihao Huang, Yutong Wu","submitted_at":"2023-05-18T04:28:47Z","abstract_excerpt":"Although recent personalization methods have democratized high-resolution image synthesis by enabling swift concept acquisition with minimal examples and lightweight computation, they also present an exploitable avenue for high accessible backdoor attacks. This paper investigates a critical and unexplored aspect of text-to-image (T2I) diffusion models - their potential vulnerability to backdoor attacks via personalization. Our study focuses on a zero-day backdoor vulnerability prevalent in two families of personalization methods, epitomized by Textual Inversion and DreamBooth.Compared to tradi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10701","kind":"arxiv","version":3},"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/2305.10701/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":"2305.10701","created_at":"2026-07-05T07:26:14.128858+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.10701v3","created_at":"2026-07-05T07:26:14.128858+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10701","created_at":"2026-07-05T07:26:14.128858+00:00"},{"alias_kind":"pith_short_12","alias_value":"LMHWEFSWAJSA","created_at":"2026-07-05T07:26:14.128858+00:00"},{"alias_kind":"pith_short_16","alias_value":"LMHWEFSWAJSA2T6S","created_at":"2026-07-05T07:26:14.128858+00:00"},{"alias_kind":"pith_short_8","alias_value":"LMHWEFSW","created_at":"2026-07-05T07:26:14.128858+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.11441","citing_title":"UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models","ref_index":51,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F","json":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F.json","graph_json":"https://pith.science/api/pith-number/LMHWEFSWAJSA2T6SILPUBEN55F/graph.json","events_json":"https://pith.science/api/pith-number/LMHWEFSWAJSA2T6SILPUBEN55F/events.json","paper":"https://pith.science/paper/LMHWEFSW"},"agent_actions":{"view_html":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F","download_json":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F.json","view_paper":"https://pith.science/paper/LMHWEFSW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.10701&json=true","fetch_graph":"https://pith.science/api/pith-number/LMHWEFSWAJSA2T6SILPUBEN55F/graph.json","fetch_events":"https://pith.science/api/pith-number/LMHWEFSWAJSA2T6SILPUBEN55F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F/action/storage_attestation","attest_author":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F/action/author_attestation","sign_citation":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F/action/citation_signature","submit_replication":"https://pith.science/pith/LMHWEFSWAJSA2T6SILPUBEN55F/action/replication_record"}},"created_at":"2026-07-05T07:26:14.128858+00:00","updated_at":"2026-07-05T07:26:14.128858+00:00"}