{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RWUWIIVRVC2QWQKVUCZZL2DEPC","short_pith_number":"pith:RWUWIIVR","canonical_record":{"source":{"id":"1909.04087","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T18:17:10Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"30cb78ff99545c15f452c586e1b9d10fbd44af2eacc06ff9e922e17e76de9009","abstract_canon_sha256":"9518c6bb7a6884569ac86e5b8ee69d86ec9bd9299283c5e6391fe683e98209c7"},"schema_version":"1.0"},"canonical_sha256":"8da96422b1a8b50b4155a0b395e864789fa7582190e614a59468d61519e82e74","source":{"kind":"arxiv","id":"1909.04087","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04087","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04087v3","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04087","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"RWUWIIVRVC2Q","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"RWUWIIVRVC2QWQKV","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"RWUWIIVR","created_at":"2026-07-05T01:51:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RWUWIIVRVC2QWQKVUCZZL2DEPC","target":"record","payload":{"canonical_record":{"source":{"id":"1909.04087","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T18:17:10Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"30cb78ff99545c15f452c586e1b9d10fbd44af2eacc06ff9e922e17e76de9009","abstract_canon_sha256":"9518c6bb7a6884569ac86e5b8ee69d86ec9bd9299283c5e6391fe683e98209c7"},"schema_version":"1.0"},"canonical_sha256":"8da96422b1a8b50b4155a0b395e864789fa7582190e614a59468d61519e82e74","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:51:27.547769Z","signature_b64":"p7YLz1dCqdw2Y2p2mSCMP641xYDdLdd/YPpZFT2ZadmOLwUTbd1ZWTeFb+d13Uelge4Idk8BCEScO6qO6SAjBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8da96422b1a8b50b4155a0b395e864789fa7582190e614a59468d61519e82e74","last_reissued_at":"2026-07-05T01:51:27.547242Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:51:27.547242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.04087","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CBfbw6laM0GzL7laVcM73Hmngx1PJin3srGXQwaP6/ZUUUc3KOJtESo/L4knFadJ1yQixjEUzMD1chOFUQUnAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:20:35.840130Z"},"content_sha256":"03a20caed5ba599a3bf6be8e162d9b3c471838b773300432e11f1ab56cf1c88c","schema_version":"1.0","event_id":"sha256:03a20caed5ba599a3bf6be8e162d9b3c471838b773300432e11f1ab56cf1c88c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RWUWIIVRVC2QWQKVUCZZL2DEPC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin","submitted_at":"2019-09-09T18:17:10Z","abstract_excerpt":"This paper presents a client/server privacy-preserving network in the context of multicentric medical image analysis. Our approach is based on adversarial learning which encodes images to obfuscate the patient identity while preserving enough information for a target task. Our novel architecture is composed of three components: 1) an encoder network which removes identity-specific features from input medical images, 2) a discriminator network that attempts to identify the subject from the encoded images, 3) a medical image analysis network which analyzes the content of the encoded images (segm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04087","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/1909.04087/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":"2026-07-05T01:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tFCFQEesbVOiSZLaMun5e0rTEP4m9la1FVB4DEfRNUxkoirHSTqbXmCSH9l0kC0PddVz/vuKCLpQ/WKLld9mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:20:35.840625Z"},"content_sha256":"7c154a78a4792355e670ed79481c18ed12a75e2efda9bc7d37efafdd82c3a174","schema_version":"1.0","event_id":"sha256:7c154a78a4792355e670ed79481c18ed12a75e2efda9bc7d37efafdd82c3a174"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/bundle.json","state_url":"https://pith.science/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/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":"2026-08-09T07:20:35Z","links":{"resolver":"https://pith.science/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC","bundle":"https://pith.science/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/bundle.json","state":"https://pith.science/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWUWIIVRVC2QWQKVUCZZL2DEPC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RWUWIIVRVC2QWQKVUCZZL2DEPC","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":"9518c6bb7a6884569ac86e5b8ee69d86ec9bd9299283c5e6391fe683e98209c7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T18:17:10Z","title_canon_sha256":"30cb78ff99545c15f452c586e1b9d10fbd44af2eacc06ff9e922e17e76de9009"},"schema_version":"1.0","source":{"id":"1909.04087","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04087","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04087v3","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04087","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"RWUWIIVRVC2Q","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"RWUWIIVRVC2QWQKV","created_at":"2026-07-05T01:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"RWUWIIVR","created_at":"2026-07-05T01:51:27Z"}],"graph_snapshots":[{"event_id":"sha256:7c154a78a4792355e670ed79481c18ed12a75e2efda9bc7d37efafdd82c3a174","target":"graph","created_at":"2026-07-05T01:51:27Z","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/1909.04087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a client/server privacy-preserving network in the context of multicentric medical image analysis. Our approach is based on adversarial learning which encodes images to obfuscate the patient identity while preserving enough information for a target task. Our novel architecture is composed of three components: 1) an encoder network which removes identity-specific features from input medical images, 2) a discriminator network that attempts to identify the subject from the encoded images, 3) a medical image analysis network which analyzes the content of the encoded images (segm","authors_text":"Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T18:17:10Z","title":"Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04087","kind":"arxiv","version":3},"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":"sha256:03a20caed5ba599a3bf6be8e162d9b3c471838b773300432e11f1ab56cf1c88c","target":"record","created_at":"2026-07-05T01:51:27Z","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":"9518c6bb7a6884569ac86e5b8ee69d86ec9bd9299283c5e6391fe683e98209c7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T18:17:10Z","title_canon_sha256":"30cb78ff99545c15f452c586e1b9d10fbd44af2eacc06ff9e922e17e76de9009"},"schema_version":"1.0","source":{"id":"1909.04087","kind":"arxiv","version":3}},"canonical_sha256":"8da96422b1a8b50b4155a0b395e864789fa7582190e614a59468d61519e82e74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8da96422b1a8b50b4155a0b395e864789fa7582190e614a59468d61519e82e74","first_computed_at":"2026-07-05T01:51:27.547242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:51:27.547242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p7YLz1dCqdw2Y2p2mSCMP641xYDdLdd/YPpZFT2ZadmOLwUTbd1ZWTeFb+d13Uelge4Idk8BCEScO6qO6SAjBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:51:27.547769Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.04087","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03a20caed5ba599a3bf6be8e162d9b3c471838b773300432e11f1ab56cf1c88c","sha256:7c154a78a4792355e670ed79481c18ed12a75e2efda9bc7d37efafdd82c3a174"],"state_sha256":"6805d5e32261ea65c7d1f391802b5f27b329ea7b9172335390ee10fead73e1e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4q/vxX+6TZJPHZTg/PPEPwG1XPT5J6PvXhylYD6j0+1b5wPmFxDFrCoVyMf64GXD+nZ+xqIH+cnMJJQlOvmGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:20:35.844440Z","bundle_sha256":"1866ae4b4846855e340ec51edd83ad16848c2a4a4c87fdbeb840fe721513ecd4"}}