{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NMMTM5KTUCMEE2UP4B5AVZUXPI","short_pith_number":"pith:NMMTM5KT","canonical_record":{"source":{"id":"2310.04513","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-10-06T18:15:35Z","cross_cats_sorted":[],"title_canon_sha256":"194900b68d3346c3d952b456dc2013d4abc3b09c5476fe67142e1c66aa7e44ee","abstract_canon_sha256":"a97e90fda86b9b8340e973da85b2b87c3b904ac2f1721f0e4c04518563b7e068"},"schema_version":"1.0"},"canonical_sha256":"6b19367553a098426a8fe07a0ae6977a1ce7337dae2b878f126a1f425596da5e","source":{"kind":"arxiv","id":"2310.04513","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04513","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04513v3","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04513","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"NMMTM5KTUCME","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"NMMTM5KTUCMEE2UP","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"NMMTM5KT","created_at":"2026-07-05T07:19:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NMMTM5KTUCMEE2UP4B5AVZUXPI","target":"record","payload":{"canonical_record":{"source":{"id":"2310.04513","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-10-06T18:15:35Z","cross_cats_sorted":[],"title_canon_sha256":"194900b68d3346c3d952b456dc2013d4abc3b09c5476fe67142e1c66aa7e44ee","abstract_canon_sha256":"a97e90fda86b9b8340e973da85b2b87c3b904ac2f1721f0e4c04518563b7e068"},"schema_version":"1.0"},"canonical_sha256":"6b19367553a098426a8fe07a0ae6977a1ce7337dae2b878f126a1f425596da5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:19:51.214209Z","signature_b64":"dI72Jiorv1h3J6cmaJINApmKMAS2aC69KEOAbo43xw0NlEhX9Z3tGQWisyNxeIzAifbHrs0KjQM4dHHwtU4GCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b19367553a098426a8fe07a0ae6977a1ce7337dae2b878f126a1f425596da5e","last_reissued_at":"2026-07-05T07:19:51.213671Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:19:51.213671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.04513","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":"2026-07-05T07:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gT9lA1GvuwG7AeOR1qQ0wknsTPSAw4wnQcMFfu2SIonAO3mfzm7bjeqIjGU8YSYS0CtxYIDV3L6sr4AigtwfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:27:04.836805Z"},"content_sha256":"f0be8fde50561ddd3c47c7458f4d465ea48d3a09a3b0c9eb6d40394b7d789621","schema_version":"1.0","event_id":"sha256:f0be8fde50561ddd3c47c7458f4d465ea48d3a09a3b0c9eb6d40394b7d789621"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NMMTM5KTUCMEE2UP4B5AVZUXPI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Erin Lanus, Jaganmohan Chandrasekaran, Jeremy Werner, Laura Freeman, Padmaksha Roy","submitted_at":"2023-10-06T18:15:35Z","abstract_excerpt":"Machine learning (ML) is increasingly being deployed in critical systems. The data dependence of ML makes securing data used to train and test ML-enabled systems of utmost importance. While the field of cybersecurity has well-established practices for securing information, ML-enabled systems create new attack vectors. Furthermore, data science and cybersecurity domains adhere to their own set of skills and terminologies. This survey aims to present background information for experts in both domains in topics such as cryptography, access control, zero trust architectures, homomorphic encryption"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04513","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/2310.04513/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":"2026-07-05T07:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kUYOcHRY3lGB+NQH5kdmwM402qZEMX3SBQlQytTlGZAWas9G8MXQqAPreolZg7zIGpvymCgOKCrkRGPhxTVJCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:27:04.837693Z"},"content_sha256":"197fb05e6134ad844cac394d46a6884b9597f4c0b4b7acb5403613e28a726ac1","schema_version":"1.0","event_id":"sha256:197fb05e6134ad844cac394d46a6884b9597f4c0b4b7acb5403613e28a726ac1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/bundle.json","state_url":"https://pith.science/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/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":"2026-08-08T13:27:04Z","links":{"resolver":"https://pith.science/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI","bundle":"https://pith.science/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/bundle.json","state":"https://pith.science/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMMTM5KTUCMEE2UP4B5AVZUXPI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NMMTM5KTUCMEE2UP4B5AVZUXPI","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":"a97e90fda86b9b8340e973da85b2b87c3b904ac2f1721f0e4c04518563b7e068","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-10-06T18:15:35Z","title_canon_sha256":"194900b68d3346c3d952b456dc2013d4abc3b09c5476fe67142e1c66aa7e44ee"},"schema_version":"1.0","source":{"id":"2310.04513","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04513","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04513v3","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04513","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"NMMTM5KTUCME","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"NMMTM5KTUCMEE2UP","created_at":"2026-07-05T07:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"NMMTM5KT","created_at":"2026-07-05T07:19:51Z"}],"graph_snapshots":[{"event_id":"sha256:197fb05e6134ad844cac394d46a6884b9597f4c0b4b7acb5403613e28a726ac1","target":"graph","created_at":"2026-07-05T07:19:51Z","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/2310.04513/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning (ML) is increasingly being deployed in critical systems. The data dependence of ML makes securing data used to train and test ML-enabled systems of utmost importance. While the field of cybersecurity has well-established practices for securing information, ML-enabled systems create new attack vectors. Furthermore, data science and cybersecurity domains adhere to their own set of skills and terminologies. This survey aims to present background information for experts in both domains in topics such as cryptography, access control, zero trust architectures, homomorphic encryption","authors_text":"Erin Lanus, Jaganmohan Chandrasekaran, Jeremy Werner, Laura Freeman, Padmaksha Roy","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-10-06T18:15:35Z","title":"A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04513","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:f0be8fde50561ddd3c47c7458f4d465ea48d3a09a3b0c9eb6d40394b7d789621","target":"record","created_at":"2026-07-05T07:19:51Z","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":"a97e90fda86b9b8340e973da85b2b87c3b904ac2f1721f0e4c04518563b7e068","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-10-06T18:15:35Z","title_canon_sha256":"194900b68d3346c3d952b456dc2013d4abc3b09c5476fe67142e1c66aa7e44ee"},"schema_version":"1.0","source":{"id":"2310.04513","kind":"arxiv","version":3}},"canonical_sha256":"6b19367553a098426a8fe07a0ae6977a1ce7337dae2b878f126a1f425596da5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b19367553a098426a8fe07a0ae6977a1ce7337dae2b878f126a1f425596da5e","first_computed_at":"2026-07-05T07:19:51.213671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:19:51.213671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dI72Jiorv1h3J6cmaJINApmKMAS2aC69KEOAbo43xw0NlEhX9Z3tGQWisyNxeIzAifbHrs0KjQM4dHHwtU4GCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:19:51.214209Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.04513","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0be8fde50561ddd3c47c7458f4d465ea48d3a09a3b0c9eb6d40394b7d789621","sha256:197fb05e6134ad844cac394d46a6884b9597f4c0b4b7acb5403613e28a726ac1"],"state_sha256":"87240d1829b34514cbebbc31b76338c3f3a193d5dce65060689e90fb30ffac5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gu1vwnYA+EiXqh7zkJYv+F6xfpVnLIZ7I5BjsJ5YO5oFGIRW83HLURsTfcLmfScQ8LRk8RQ7SHxmDGkmQRBkDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:27:04.843719Z","bundle_sha256":"998973ee039adc820109564efb9fe020f6a5e526f80ad41235fc3c2db11d0062"}}