{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MFXRJ6VZ5UU6R7COP6CVXURJWR","short_pith_number":"pith:MFXRJ6VZ","canonical_record":{"source":{"id":"1711.05189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-14T16:53:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"549cebbbb816a7a968bf03d00646660b6a6060895420d406f9ddca251caaddbe","abstract_canon_sha256":"08f06d6eadc6b54dac1345fdda6d929bbcd10d124691ab067061c9182a67e1b5"},"schema_version":"1.0"},"canonical_sha256":"616f14fab9ed29e8fc4e7f855bd229b441137804b6d26eebf19e22f1495d981a","source":{"kind":"arxiv","id":"1711.05189","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.05189","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.05189v1","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.05189","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"pith_short_12","alias_value":"MFXRJ6VZ5UU6","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MFXRJ6VZ5UU6R7CO","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MFXRJ6VZ","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MFXRJ6VZ5UU6R7COP6CVXURJWR","target":"record","payload":{"canonical_record":{"source":{"id":"1711.05189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-14T16:53:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"549cebbbb816a7a968bf03d00646660b6a6060895420d406f9ddca251caaddbe","abstract_canon_sha256":"08f06d6eadc6b54dac1345fdda6d929bbcd10d124691ab067061c9182a67e1b5"},"schema_version":"1.0"},"canonical_sha256":"616f14fab9ed29e8fc4e7f855bd229b441137804b6d26eebf19e22f1495d981a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:34.537808Z","signature_b64":"scxGx1eokkK47c0SYwjDCHwt6k9K6jmVf2okF6hxqhpymrCZ7myeE4vzpQ51HlxMkMPyxAT/4yBGqX8eyyUvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"616f14fab9ed29e8fc4e7f855bd229b441137804b6d26eebf19e22f1495d981a","last_reissued_at":"2026-05-18T00:30:34.537181Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:34.537181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.05189","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":"2026-05-18T00:30:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bh9BuXk6WIjp6foYVNO5Itja0fPbDnKsshMdj59SjmVf0IEFNsyNa0ukjNLYPceNV1u+hCe5NHPefrFJXmghAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:00:53.150904Z"},"content_sha256":"69b691c3e81de844d9484b58032ba35b44e45433a7b5de568d038d8963c174ec","schema_version":"1.0","event_id":"sha256:69b691c3e81de844d9484b58032ba35b44e45433a7b5de568d038d8963c174ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MFXRJ6VZ5UU6R7COP6CVXURJWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CryptoDL: Deep Neural Networks over Encrypted Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CR","authors_text":"Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi","submitted_at":"2017-11-14T16:53:39Z","abstract_excerpt":"Machine learning algorithms based on deep neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provide solutions for running deep neural networks over encrypted data. In this paper, we develop new techniques to adopt deep neural networks within the practical limitation of current homomorphic encryption schemes. More specifically, we focus on classification of the well-known convolutional neura"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.05189","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":"2026-05-18T00:30:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1urMi50HNR5Rx+2DEcDcpwae8Rx0P4UASkqFtH/l6Ue4ZmJeufAq9xK1bpw1R4csKre6xxsLa5Q+fkGRiUspCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T02:00:53.151539Z"},"content_sha256":"ab1a849aab13814acec9c6c3d8a1a638d88ae11c9d600f37e162da6c75bf077a","schema_version":"1.0","event_id":"sha256:ab1a849aab13814acec9c6c3d8a1a638d88ae11c9d600f37e162da6c75bf077a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/bundle.json","state_url":"https://pith.science/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/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":"2026-05-26T02:00:53Z","links":{"resolver":"https://pith.science/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR","bundle":"https://pith.science/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/bundle.json","state":"https://pith.science/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MFXRJ6VZ5UU6R7COP6CVXURJWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MFXRJ6VZ5UU6R7COP6CVXURJWR","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":"08f06d6eadc6b54dac1345fdda6d929bbcd10d124691ab067061c9182a67e1b5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-14T16:53:39Z","title_canon_sha256":"549cebbbb816a7a968bf03d00646660b6a6060895420d406f9ddca251caaddbe"},"schema_version":"1.0","source":{"id":"1711.05189","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.05189","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.05189v1","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.05189","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"pith_short_12","alias_value":"MFXRJ6VZ5UU6","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MFXRJ6VZ5UU6R7CO","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MFXRJ6VZ","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:ab1a849aab13814acec9c6c3d8a1a638d88ae11c9d600f37e162da6c75bf077a","target":"graph","created_at":"2026-05-18T00:30:34Z","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":"Machine learning algorithms based on deep neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provide solutions for running deep neural networks over encrypted data. In this paper, we develop new techniques to adopt deep neural networks within the practical limitation of current homomorphic encryption schemes. More specifically, we focus on classification of the well-known convolutional neura","authors_text":"Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-14T16:53:39Z","title":"CryptoDL: Deep Neural Networks over Encrypted Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.05189","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":"sha256:69b691c3e81de844d9484b58032ba35b44e45433a7b5de568d038d8963c174ec","target":"record","created_at":"2026-05-18T00:30:34Z","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":"08f06d6eadc6b54dac1345fdda6d929bbcd10d124691ab067061c9182a67e1b5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-11-14T16:53:39Z","title_canon_sha256":"549cebbbb816a7a968bf03d00646660b6a6060895420d406f9ddca251caaddbe"},"schema_version":"1.0","source":{"id":"1711.05189","kind":"arxiv","version":1}},"canonical_sha256":"616f14fab9ed29e8fc4e7f855bd229b441137804b6d26eebf19e22f1495d981a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"616f14fab9ed29e8fc4e7f855bd229b441137804b6d26eebf19e22f1495d981a","first_computed_at":"2026-05-18T00:30:34.537181Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:34.537181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"scxGx1eokkK47c0SYwjDCHwt6k9K6jmVf2okF6hxqhpymrCZ7myeE4vzpQ51HlxMkMPyxAT/4yBGqX8eyyUvDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:34.537808Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.05189","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69b691c3e81de844d9484b58032ba35b44e45433a7b5de568d038d8963c174ec","sha256:ab1a849aab13814acec9c6c3d8a1a638d88ae11c9d600f37e162da6c75bf077a"],"state_sha256":"78f52b423cc04a5f2102a04e2d79e6a6ec7ec19f9b9d03c67d07b13215290c0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Tof246YdrOPZIB/KOUPuEgqhFteQZNGWePWYfvdbdABNNLkgpf0zr53FCx3r4HZ22KwmTpsCw0oGkgobyLjCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T02:00:53.154653Z","bundle_sha256":"0185752964745d297baba6355cd5cba6ac79658d056b78c6f65a354a6e74d9c4"}}