{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IHQG6DIUOK6C2UOJGN2XGG7LA7","short_pith_number":"pith:IHQG6DIU","canonical_record":{"source":{"id":"2401.09624","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-01-17T22:30:41Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d95deada40fa3e6a73e70f8add02df5b431f47a3aa86fd80ed02b03b79021fac","abstract_canon_sha256":"925cf14b73cb91649d924fb42fb678683a01e6005d032f5b23985d7c5dbd1339"},"schema_version":"1.0"},"canonical_sha256":"41e06f0d1472bc2d51c93375731beb07caad742b21b8b7b40f200e98444c9fe3","source":{"kind":"arxiv","id":"2401.09624","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09624","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09624v2","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09624","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"IHQG6DIUOK6C","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"IHQG6DIUOK6C2UOJ","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"IHQG6DIU","created_at":"2026-07-05T09:15:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IHQG6DIUOK6C2UOJGN2XGG7LA7","target":"record","payload":{"canonical_record":{"source":{"id":"2401.09624","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-01-17T22:30:41Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d95deada40fa3e6a73e70f8add02df5b431f47a3aa86fd80ed02b03b79021fac","abstract_canon_sha256":"925cf14b73cb91649d924fb42fb678683a01e6005d032f5b23985d7c5dbd1339"},"schema_version":"1.0"},"canonical_sha256":"41e06f0d1472bc2d51c93375731beb07caad742b21b8b7b40f200e98444c9fe3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:15:29.272464Z","signature_b64":"22mrO2SAuxpO2rIXqjOE9dmZkNV8heJtNi9/sODaCouulJ9KxSLTwN4zP9r9gxUkEVFYbHYOiejXiUOM3q9mCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41e06f0d1472bc2d51c93375731beb07caad742b21b8b7b40f200e98444c9fe3","last_reissued_at":"2026-07-05T09:15:29.271923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:15:29.271923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.09624","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9v2cYTZyvoKD7Eth02nn6SiwVhzIFx6vrEO2ud8fvgbP8PZdhbCG07evEctjgDmbvyKnzvHssCRdrn+mu6QkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:08:01.384654Z"},"content_sha256":"25e202c7cb70f0dc3db11e7354b60d03a05916bed27bdae044cde861b0a20709","schema_version":"1.0","event_id":"sha256:25e202c7cb70f0dc3db11e7354b60d03a05916bed27bdae044cde861b0a20709"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IHQG6DIUOK6C2UOJGN2XGG7LA7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Alessandro Ortis, Giovanni Pasqualino, Luca Guarnera, Sebastiano Battiato","submitted_at":"2024-01-17T22:30:41Z","abstract_excerpt":"The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging. This study introduces MITS-GAN, a novel approach to prevent tampering in medical images, with a specific focus on CT scans. The approach disrupts the output of the attacker's CT-GAN architecture by introducing finely tuned perturbations that are imperceptible to the human eye. Specifically, the proposed approach involves the introduction of appropriate Gaussia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09624","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/2401.09624/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":"2026-07-05T09:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M8Bv4i766OGaxzsivLVSaaiZn528kL0XBJWF9edQ6OBixw7ZeQt/9xsFhjQX1Q2XBiSne7SCksP01JPysrv8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:08:01.385186Z"},"content_sha256":"ed8781d83cff8e461371ac13385cfce8b39340e29b9aa268dccd75970a617f30","schema_version":"1.0","event_id":"sha256:ed8781d83cff8e461371ac13385cfce8b39340e29b9aa268dccd75970a617f30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/bundle.json","state_url":"https://pith.science/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/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":"2026-08-06T21:08:01Z","links":{"resolver":"https://pith.science/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7","bundle":"https://pith.science/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/bundle.json","state":"https://pith.science/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IHQG6DIUOK6C2UOJGN2XGG7LA7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IHQG6DIUOK6C2UOJGN2XGG7LA7","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":"925cf14b73cb91649d924fb42fb678683a01e6005d032f5b23985d7c5dbd1339","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-01-17T22:30:41Z","title_canon_sha256":"d95deada40fa3e6a73e70f8add02df5b431f47a3aa86fd80ed02b03b79021fac"},"schema_version":"1.0","source":{"id":"2401.09624","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09624","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09624v2","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09624","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"IHQG6DIUOK6C","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"IHQG6DIUOK6C2UOJ","created_at":"2026-07-05T09:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"IHQG6DIU","created_at":"2026-07-05T09:15:29Z"}],"graph_snapshots":[{"event_id":"sha256:ed8781d83cff8e461371ac13385cfce8b39340e29b9aa268dccd75970a617f30","target":"graph","created_at":"2026-07-05T09:15:29Z","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/2401.09624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious uses, especially in sensitive areas like medical imaging. This study introduces MITS-GAN, a novel approach to prevent tampering in medical images, with a specific focus on CT scans. The approach disrupts the output of the attacker's CT-GAN architecture by introducing finely tuned perturbations that are imperceptible to the human eye. Specifically, the proposed approach involves the introduction of appropriate Gaussia","authors_text":"Alessandro Ortis, Giovanni Pasqualino, Luca Guarnera, Sebastiano Battiato","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-01-17T22:30:41Z","title":"MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09624","kind":"arxiv","version":2},"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":"sha256:25e202c7cb70f0dc3db11e7354b60d03a05916bed27bdae044cde861b0a20709","target":"record","created_at":"2026-07-05T09:15:29Z","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":"925cf14b73cb91649d924fb42fb678683a01e6005d032f5b23985d7c5dbd1339","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-01-17T22:30:41Z","title_canon_sha256":"d95deada40fa3e6a73e70f8add02df5b431f47a3aa86fd80ed02b03b79021fac"},"schema_version":"1.0","source":{"id":"2401.09624","kind":"arxiv","version":2}},"canonical_sha256":"41e06f0d1472bc2d51c93375731beb07caad742b21b8b7b40f200e98444c9fe3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41e06f0d1472bc2d51c93375731beb07caad742b21b8b7b40f200e98444c9fe3","first_computed_at":"2026-07-05T09:15:29.271923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:29.271923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"22mrO2SAuxpO2rIXqjOE9dmZkNV8heJtNi9/sODaCouulJ9KxSLTwN4zP9r9gxUkEVFYbHYOiejXiUOM3q9mCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:29.272464Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.09624","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25e202c7cb70f0dc3db11e7354b60d03a05916bed27bdae044cde861b0a20709","sha256:ed8781d83cff8e461371ac13385cfce8b39340e29b9aa268dccd75970a617f30"],"state_sha256":"6c9f57ce124535cf11ac1bd86182381cd218350f717e85c7daa1e118b0888321"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81P/jzUJ6GtHbQ8XROcmnEu0i4i0xLgwVIkx+FubDSOM+kckTRxVDkfzOlG37OK+9pb85Bi9ho5TdHKMdvIsBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:08:01.391595Z","bundle_sha256":"20e90e44296d529c6c389a2b04f11518434f15e7132037d3b378c284e149a495"}}