{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MP72CXZCY6ARGS6LEK5TEK5UNF","short_pith_number":"pith:MP72CXZC","canonical_record":{"source":{"id":"1904.12840","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-29T17:42:25Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"cff758d265729ae699f2bf8b962edd9577a782acc3a5121d647facc09a43f319","abstract_canon_sha256":"03cd0ba313e25bddb81f68efe4fe7067e63a9a2a3e2dedd901a69523617676d2"},"schema_version":"1.0"},"canonical_sha256":"63ffa15f22c781134bcb22bb322bb46976785c45e5eb1bc26ad6a41626fb00c5","source":{"kind":"arxiv","id":"1904.12840","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12840","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12840v1","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12840","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"MP72CXZCY6AR","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MP72CXZCY6ARGS6L","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MP72CXZC","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MP72CXZCY6ARGS6LEK5TEK5UNF","target":"record","payload":{"canonical_record":{"source":{"id":"1904.12840","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-29T17:42:25Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"cff758d265729ae699f2bf8b962edd9577a782acc3a5121d647facc09a43f319","abstract_canon_sha256":"03cd0ba313e25bddb81f68efe4fe7067e63a9a2a3e2dedd901a69523617676d2"},"schema_version":"1.0"},"canonical_sha256":"63ffa15f22c781134bcb22bb322bb46976785c45e5eb1bc26ad6a41626fb00c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:32.115542Z","signature_b64":"6dzDlR6gDZMJUXu93Tn5jQOcoSczJnsbjtEbQrMRodZ/2KBSYKyMy20bqoYLgo+AKNBw7RpWQ9RdgyM/M+6LDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63ffa15f22c781134bcb22bb322bb46976785c45e5eb1bc26ad6a41626fb00c5","last_reissued_at":"2026-05-17T23:47:32.114792Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:32.114792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.12840","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2PUX4xG8czmCBDlu6J9d6mBNsac6YXkX50Ztz0Lt9hC126V3cTfio1nWL9I/1cWo9rO+eL+2X0lTCDCqapChAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:09:47.507586Z"},"content_sha256":"cf42de3e3f9efe17a8318dcd01256185b7207e22f2706e68c632a9e470613563","schema_version":"1.0","event_id":"sha256:cf42de3e3f9efe17a8318dcd01256185b7207e22f2706e68c632a9e470613563"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MP72CXZCY6ARGS6LEK5TEK5UNF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEALion: a Framework for Neural Network Inference on Encrypted Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","stat.ML"],"primary_cat":"cs.LG","authors_text":"Giorgio Patrini, Hamish Ivey-Law, Tim van Elsloo","submitted_at":"2019-04-29T17:42:25Z","abstract_excerpt":"We present SEALion: an extensible framework for privacy-preserving machine learning with homomorphic encryption. It allows one to learn deep neural networks that can be seamlessly utilized for prediction on encrypted data. The framework consists of two layers: the first is built upon TensorFlow and SEAL and exposes standard algebra and deep learning primitives; the second implements a Keras-like syntax for training and inference with neural networks. Given a required level of security, a user is abstracted from the details of the encoding and the encryption scheme, allowing quick prototyping. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12840","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":""},"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":"2026-05-17T23:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m5CoKEnwY2ZzrTW8CgdcnI5ckvKPnvxCxKQYlTso6MvrJZvFdVdoJ3kd9XMF4g42tnO45NtPrt0jisBcXlPxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:09:47.507932Z"},"content_sha256":"9cdb7db1ec02ff79ebf5aac96a7482aa9041634918a90109cb03e73bca7d5bc5","schema_version":"1.0","event_id":"sha256:9cdb7db1ec02ff79ebf5aac96a7482aa9041634918a90109cb03e73bca7d5bc5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/bundle.json","state_url":"https://pith.science/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/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":"2026-05-28T08:09:47Z","links":{"resolver":"https://pith.science/pith/MP72CXZCY6ARGS6LEK5TEK5UNF","bundle":"https://pith.science/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/bundle.json","state":"https://pith.science/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MP72CXZCY6ARGS6LEK5TEK5UNF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MP72CXZCY6ARGS6LEK5TEK5UNF","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":"03cd0ba313e25bddb81f68efe4fe7067e63a9a2a3e2dedd901a69523617676d2","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-29T17:42:25Z","title_canon_sha256":"cff758d265729ae699f2bf8b962edd9577a782acc3a5121d647facc09a43f319"},"schema_version":"1.0","source":{"id":"1904.12840","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12840","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12840v1","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12840","created_at":"2026-05-17T23:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"MP72CXZCY6AR","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MP72CXZCY6ARGS6L","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MP72CXZC","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:9cdb7db1ec02ff79ebf5aac96a7482aa9041634918a90109cb03e73bca7d5bc5","target":"graph","created_at":"2026-05-17T23:47:32Z","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"},"paper":{"abstract_excerpt":"We present SEALion: an extensible framework for privacy-preserving machine learning with homomorphic encryption. It allows one to learn deep neural networks that can be seamlessly utilized for prediction on encrypted data. The framework consists of two layers: the first is built upon TensorFlow and SEAL and exposes standard algebra and deep learning primitives; the second implements a Keras-like syntax for training and inference with neural networks. Given a required level of security, a user is abstracted from the details of the encoding and the encryption scheme, allowing quick prototyping. ","authors_text":"Giorgio Patrini, Hamish Ivey-Law, Tim van Elsloo","cross_cats":["cs.CR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-29T17:42:25Z","title":"SEALion: a Framework for Neural Network Inference on Encrypted Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12840","kind":"arxiv","version":1},"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:cf42de3e3f9efe17a8318dcd01256185b7207e22f2706e68c632a9e470613563","target":"record","created_at":"2026-05-17T23:47:32Z","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":"03cd0ba313e25bddb81f68efe4fe7067e63a9a2a3e2dedd901a69523617676d2","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-29T17:42:25Z","title_canon_sha256":"cff758d265729ae699f2bf8b962edd9577a782acc3a5121d647facc09a43f319"},"schema_version":"1.0","source":{"id":"1904.12840","kind":"arxiv","version":1}},"canonical_sha256":"63ffa15f22c781134bcb22bb322bb46976785c45e5eb1bc26ad6a41626fb00c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63ffa15f22c781134bcb22bb322bb46976785c45e5eb1bc26ad6a41626fb00c5","first_computed_at":"2026-05-17T23:47:32.114792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:32.114792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6dzDlR6gDZMJUXu93Tn5jQOcoSczJnsbjtEbQrMRodZ/2KBSYKyMy20bqoYLgo+AKNBw7RpWQ9RdgyM/M+6LDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:32.115542Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.12840","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf42de3e3f9efe17a8318dcd01256185b7207e22f2706e68c632a9e470613563","sha256:9cdb7db1ec02ff79ebf5aac96a7482aa9041634918a90109cb03e73bca7d5bc5"],"state_sha256":"64c25f741dc329321f9be96af979cfaa96015ef9e43e4389064b4c25a3837d9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fWYsvkSHXQ3Yv3E6EFLM9A1+kz33/357aQrrnLpYLOvGKJj23tD0Y6us1QJGDRmsfi4j4FH1ituBNaVys6a2AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T08:09:47.510026Z","bundle_sha256":"8570134decdce75a45ca0deb737c9cb6660c49ca220c851db500e752b508bc9d"}}