{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IPGSVWHVH5HUWCO2LHDUHUUW3K","short_pith_number":"pith:IPGSVWHV","schema_version":"1.0","canonical_sha256":"43cd2ad8f53f4f4b09da59c743d296da94f56af8dd993a45ca998a84866b1295","source":{"kind":"arxiv","id":"2606.03354","version":1},"attestation_state":"computed","paper":{"title":"ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Fnu Suya, Jinghuai Zhang, Kunlin Cai, Pengyue Yu, Yuan Tian, Zhexiao Lin","submitted_at":"2026-06-02T09:03:56Z","abstract_excerpt":"Image-based Retrieval-Augmented Generation (IRAG) conditions a frozen generator on reference images retrieved from an external database, supporting both text-to-image (T2I) and question answering (Q&A) tasks. Because these databases are opaque and web-scraped, copyright holders need ways to audit whether specific images appear in them. While prior work employs membership inference attacks (MIAs) to audit uni-modal, text-based RAG, they fail to transfer to IRAG due to two key challenges. First, cross-modal retrieval: text-RAG MIAs force retrieval of the target passage by injecting its content i"},"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":"2606.03354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-02T09:03:56Z","cross_cats_sorted":[],"title_canon_sha256":"ed63996c45d554b81539aedb29f36967498ee6ab3582c0e222bed48377e29e8e","abstract_canon_sha256":"5bbbe52ce8f910a57db5fc93e51bccc3c428b5e5d1d29f0b769650f70a7a1cd8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:55.798300Z","signature_b64":"3QHmw2DUGw08RtYS368ehGcw8R3QJF7Dh7/8C+dalgdBesNhaadwh5N/wGzal89RQGp0A0RYXcqvxlNaDAPPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43cd2ad8f53f4f4b09da59c743d296da94f56af8dd993a45ca998a84866b1295","last_reissued_at":"2026-06-03T01:05:55.797890Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:55.797890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Fnu Suya, Jinghuai Zhang, Kunlin Cai, Pengyue Yu, Yuan Tian, Zhexiao Lin","submitted_at":"2026-06-02T09:03:56Z","abstract_excerpt":"Image-based Retrieval-Augmented Generation (IRAG) conditions a frozen generator on reference images retrieved from an external database, supporting both text-to-image (T2I) and question answering (Q&A) tasks. Because these databases are opaque and web-scraped, copyright holders need ways to audit whether specific images appear in them. While prior work employs membership inference attacks (MIAs) to audit uni-modal, text-based RAG, they fail to transfer to IRAG due to two key challenges. First, cross-modal retrieval: text-RAG MIAs force retrieval of the target passage by injecting its content i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03354","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/2606.03354/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":"2606.03354","created_at":"2026-06-03T01:05:55.797949+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.03354v1","created_at":"2026-06-03T01:05:55.797949+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03354","created_at":"2026-06-03T01:05:55.797949+00:00"},{"alias_kind":"pith_short_12","alias_value":"IPGSVWHVH5HU","created_at":"2026-06-03T01:05:55.797949+00:00"},{"alias_kind":"pith_short_16","alias_value":"IPGSVWHVH5HUWCO2","created_at":"2026-06-03T01:05:55.797949+00:00"},{"alias_kind":"pith_short_8","alias_value":"IPGSVWHV","created_at":"2026-06-03T01:05:55.797949+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/IPGSVWHVH5HUWCO2LHDUHUUW3K","json":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K.json","graph_json":"https://pith.science/api/pith-number/IPGSVWHVH5HUWCO2LHDUHUUW3K/graph.json","events_json":"https://pith.science/api/pith-number/IPGSVWHVH5HUWCO2LHDUHUUW3K/events.json","paper":"https://pith.science/paper/IPGSVWHV"},"agent_actions":{"view_html":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K","download_json":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K.json","view_paper":"https://pith.science/paper/IPGSVWHV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.03354&json=true","fetch_graph":"https://pith.science/api/pith-number/IPGSVWHVH5HUWCO2LHDUHUUW3K/graph.json","fetch_events":"https://pith.science/api/pith-number/IPGSVWHVH5HUWCO2LHDUHUUW3K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K/action/storage_attestation","attest_author":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K/action/author_attestation","sign_citation":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K/action/citation_signature","submit_replication":"https://pith.science/pith/IPGSVWHVH5HUWCO2LHDUHUUW3K/action/replication_record"}},"created_at":"2026-06-03T01:05:55.797949+00:00","updated_at":"2026-06-03T01:05:55.797949+00:00"}