{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7KLYBRCIKWQEKRLFVK54TYFB3S","short_pith_number":"pith:7KLYBRCI","canonical_record":{"source":{"id":"1905.01827","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-06T05:51:24Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"c4a0d886ad188b6dbecbce009ed25f910c7a48256b8ba4523fb4ae67a58964e7","abstract_canon_sha256":"84bf63f1cfe2e8cf11e46b12da1e5f1d6cf11cc77e55f25c652c6383c482e760"},"schema_version":"1.0"},"canonical_sha256":"fa9780c44855a0454565aabbc9e0a1dc9dc35965503dcc5d05e576577d6a604a","source":{"kind":"arxiv","id":"1905.01827","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01827","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01827v1","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01827","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"pith_short_12","alias_value":"7KLYBRCIKWQE","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7KLYBRCIKWQEKRLF","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7KLYBRCI","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7KLYBRCIKWQEKRLFVK54TYFB3S","target":"record","payload":{"canonical_record":{"source":{"id":"1905.01827","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-06T05:51:24Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"c4a0d886ad188b6dbecbce009ed25f910c7a48256b8ba4523fb4ae67a58964e7","abstract_canon_sha256":"84bf63f1cfe2e8cf11e46b12da1e5f1d6cf11cc77e55f25c652c6383c482e760"},"schema_version":"1.0"},"canonical_sha256":"fa9780c44855a0454565aabbc9e0a1dc9dc35965503dcc5d05e576577d6a604a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:57.308029Z","signature_b64":"gsk72dJiMgt5+fC9cXuuDtiZI5jFJZvZ/RA2em+ln7R24t8K+Ey/95jj/V0Nb2XgwdX+z4bJON7O1a0AtOLCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa9780c44855a0454565aabbc9e0a1dc9dc35965503dcc5d05e576577d6a604a","last_reissued_at":"2026-05-17T23:46:57.307403Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:57.307403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.01827","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":"2026-05-17T23:46:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+/blkhDVjYegD8Bh7QkHkKwrOcWlJ28camCB53wSBgUISc48Q3Wmc8f+F1zRiIP7x6zMYqSHnoyPCWfILLjjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T06:22:00.938565Z"},"content_sha256":"d9f26b7ef612d7b0d7079d5c50497e6f64c43860ec2f7b1967ca2b98039194e4","schema_version":"1.0","event_id":"sha256:d9f26b7ef612d7b0d7079d5c50497e6f64c43860ec2f7b1967ca2b98039194e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7KLYBRCIKWQEKRLFVK54TYFB3S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CR","authors_text":"Hitoshi Kiya, Takahiro Maekawa, Warit Sirichotedumrong, Yuma Kinoshita","submitted_at":"2019-05-06T05:51:24Z","abstract_excerpt":"We present a novel privacy-preserving scheme for deep neural networks (DNNs) that enables us not to only apply images without visual information to DNNs for both training and testing but to also consider data augmentation in the encrypted domain for the first time. In this paper, a novel pixel-based image encryption method is first proposed for privacy-preserving DNNs. In addition, a novel adaptation network is considered that reduces the influence of image encryption. In an experiment, the proposed method is applied to a well-known network, ResNet-18, for image classification. The experimenta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01827","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":"2026-05-17T23:46:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ASROnAl8eF9mMW2EhzMcGPPdszKouVPCmsMO/D4VGLAq+GgwnYDRQ5Wbc/y38v0Rfez3yz0F7zru2EkUn6p4BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T06:22:00.939300Z"},"content_sha256":"bcbe5b06dcfbd704373b4094f1034ee7fd5624ba68284ec44de1ed2b2d545e91","schema_version":"1.0","event_id":"sha256:bcbe5b06dcfbd704373b4094f1034ee7fd5624ba68284ec44de1ed2b2d545e91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/bundle.json","state_url":"https://pith.science/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/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":"2026-06-11T06:22:00Z","links":{"resolver":"https://pith.science/pith/7KLYBRCIKWQEKRLFVK54TYFB3S","bundle":"https://pith.science/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/bundle.json","state":"https://pith.science/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7KLYBRCIKWQEKRLFVK54TYFB3S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7KLYBRCIKWQEKRLFVK54TYFB3S","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":"84bf63f1cfe2e8cf11e46b12da1e5f1d6cf11cc77e55f25c652c6383c482e760","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-06T05:51:24Z","title_canon_sha256":"c4a0d886ad188b6dbecbce009ed25f910c7a48256b8ba4523fb4ae67a58964e7"},"schema_version":"1.0","source":{"id":"1905.01827","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01827","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01827v1","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01827","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"pith_short_12","alias_value":"7KLYBRCIKWQE","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7KLYBRCIKWQEKRLF","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7KLYBRCI","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:bcbe5b06dcfbd704373b4094f1034ee7fd5624ba68284ec44de1ed2b2d545e91","target":"graph","created_at":"2026-05-17T23:46:57Z","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 a novel privacy-preserving scheme for deep neural networks (DNNs) that enables us not to only apply images without visual information to DNNs for both training and testing but to also consider data augmentation in the encrypted domain for the first time. In this paper, a novel pixel-based image encryption method is first proposed for privacy-preserving DNNs. In addition, a novel adaptation network is considered that reduces the influence of image encryption. In an experiment, the proposed method is applied to a well-known network, ResNet-18, for image classification. The experimenta","authors_text":"Hitoshi Kiya, Takahiro Maekawa, Warit Sirichotedumrong, Yuma Kinoshita","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-06T05:51:24Z","title":"Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01827","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:d9f26b7ef612d7b0d7079d5c50497e6f64c43860ec2f7b1967ca2b98039194e4","target":"record","created_at":"2026-05-17T23:46:57Z","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":"84bf63f1cfe2e8cf11e46b12da1e5f1d6cf11cc77e55f25c652c6383c482e760","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-05-06T05:51:24Z","title_canon_sha256":"c4a0d886ad188b6dbecbce009ed25f910c7a48256b8ba4523fb4ae67a58964e7"},"schema_version":"1.0","source":{"id":"1905.01827","kind":"arxiv","version":1}},"canonical_sha256":"fa9780c44855a0454565aabbc9e0a1dc9dc35965503dcc5d05e576577d6a604a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa9780c44855a0454565aabbc9e0a1dc9dc35965503dcc5d05e576577d6a604a","first_computed_at":"2026-05-17T23:46:57.307403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:57.307403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gsk72dJiMgt5+fC9cXuuDtiZI5jFJZvZ/RA2em+ln7R24t8K+Ey/95jj/V0Nb2XgwdX+z4bJON7O1a0AtOLCBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:57.308029Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.01827","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9f26b7ef612d7b0d7079d5c50497e6f64c43860ec2f7b1967ca2b98039194e4","sha256:bcbe5b06dcfbd704373b4094f1034ee7fd5624ba68284ec44de1ed2b2d545e91"],"state_sha256":"b09f14bb76751510dfdf8d55f88bc8e8e0cf89c64b32d2e741badcf3bc4515cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PQuntu8ljpkqnZj3//esJmsn4DN9/sxwcRMa9OxKCBJZjABoolFA1oZkBQdbAdJJdXeWusvSjVBk47AyRSlSCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T06:22:00.943377Z","bundle_sha256":"91dcd6fd4fffca01ed60e987d1355ad81775b2fd33143659436b3e4c33bcf2a7"}}