{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:C7QOZYZR6FKNZOC4WIOMEHD3ER","short_pith_number":"pith:C7QOZYZR","canonical_record":{"source":{"id":"1911.11932","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-11-27T03:31:04Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d1a024b4d18f1c8406116979f4c70260688ca595f2e98b50f7117b45cacd4e1e","abstract_canon_sha256":"d6871a53c4c6843d7d8fa423fe789aa04f8ca36cd570f81b3e3a2485ffc611a0"},"schema_version":"1.0"},"canonical_sha256":"17e0ece331f154dcb85cb21cc21c7b244892db6dc0f1eae6d6ffdfcac5d53725","source":{"kind":"arxiv","id":"1911.11932","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11932","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11932v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11932","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"C7QOZYZR6FKN","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"C7QOZYZR6FKNZOC4","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"C7QOZYZR","created_at":"2026-07-05T00:22:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:C7QOZYZR6FKNZOC4WIOMEHD3ER","target":"record","payload":{"canonical_record":{"source":{"id":"1911.11932","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-11-27T03:31:04Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d1a024b4d18f1c8406116979f4c70260688ca595f2e98b50f7117b45cacd4e1e","abstract_canon_sha256":"d6871a53c4c6843d7d8fa423fe789aa04f8ca36cd570f81b3e3a2485ffc611a0"},"schema_version":"1.0"},"canonical_sha256":"17e0ece331f154dcb85cb21cc21c7b244892db6dc0f1eae6d6ffdfcac5d53725","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:22:28.828736Z","signature_b64":"TrfyuB0qd0AZQ7/uLT7C1z35KQ/D0e5kSdhF/1Penk3D/RuNvlT6bPM1Qrmay+0L2ELNPCrHwOGd+ngly+tsDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17e0ece331f154dcb85cb21cc21c7b244892db6dc0f1eae6d6ffdfcac5d53725","last_reissued_at":"2026-07-05T00:22:28.828295Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:22:28.828295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.11932","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":"2026-07-05T00:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"euu12tmLDb/1UAUNHFHFnIi9kASK48JTK+bWsdj8tnIV0FzkYPCMFERNbU8EE7TpKe16YVh/WVQJ/r+h70rzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:33:45.976921Z"},"content_sha256":"e63e23f1f719637597c42012c807b04c819d0fd18a5bcb45d732c9ddb8c45950","schema_version":"1.0","event_id":"sha256:e63e23f1f719637597c42012c807b04c819d0fd18a5bcb45d732c9ddb8c45950"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:C7QOZYZR6FKNZOC4WIOMEHD3ER","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Survey of Attacks and Defenses on Edge-Deployed Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CR","authors_text":"Karen M. Gettings, Michel A. Kinsy, Mihailo Isakov, Vijay Gadepally","submitted_at":"2019-11-27T03:31:04Z","abstract_excerpt":"Deep Neural Network (DNN) workloads are quickly moving from datacenters onto edge devices, for latency, privacy, or energy reasons. While datacenter networks can be protected using conventional cybersecurity measures, edge neural networks bring a host of new security challenges. Unlike classic IoT applications, edge neural networks are typically very compute and memory intensive, their execution is data-independent, and they are robust to noise and faults. Neural network models may be very expensive to develop, and can potentially reveal information about the private data they were trained on,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11932","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1911.11932/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":"2026-07-05T00:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cV3AskK3bHnwUJpIYOrO59Dq+qkQk/ySCWu93HJtQEgDb9clNX0QX1sh0//rLLSnjqUSVF+pvyvCXZ2SVM5zAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:33:45.977541Z"},"content_sha256":"548aefc18fb1a1813b7989e6a0f497e789a7d3d396de4767d0dadf4d9af1e4f7","schema_version":"1.0","event_id":"sha256:548aefc18fb1a1813b7989e6a0f497e789a7d3d396de4767d0dadf4d9af1e4f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/bundle.json","state_url":"https://pith.science/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/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":"2026-08-05T12:33:45Z","links":{"resolver":"https://pith.science/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER","bundle":"https://pith.science/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/bundle.json","state":"https://pith.science/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C7QOZYZR6FKNZOC4WIOMEHD3ER/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:C7QOZYZR6FKNZOC4WIOMEHD3ER","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":"d6871a53c4c6843d7d8fa423fe789aa04f8ca36cd570f81b3e3a2485ffc611a0","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-11-27T03:31:04Z","title_canon_sha256":"d1a024b4d18f1c8406116979f4c70260688ca595f2e98b50f7117b45cacd4e1e"},"schema_version":"1.0","source":{"id":"1911.11932","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11932","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11932v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11932","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"C7QOZYZR6FKN","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"C7QOZYZR6FKNZOC4","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"C7QOZYZR","created_at":"2026-07-05T00:22:28Z"}],"graph_snapshots":[{"event_id":"sha256:548aefc18fb1a1813b7989e6a0f497e789a7d3d396de4767d0dadf4d9af1e4f7","target":"graph","created_at":"2026-07-05T00:22:28Z","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/1911.11932/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Network (DNN) workloads are quickly moving from datacenters onto edge devices, for latency, privacy, or energy reasons. While datacenter networks can be protected using conventional cybersecurity measures, edge neural networks bring a host of new security challenges. Unlike classic IoT applications, edge neural networks are typically very compute and memory intensive, their execution is data-independent, and they are robust to noise and faults. Neural network models may be very expensive to develop, and can potentially reveal information about the private data they were trained on,","authors_text":"Karen M. Gettings, Michel A. Kinsy, Mihailo Isakov, Vijay Gadepally","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-11-27T03:31:04Z","title":"Survey of Attacks and Defenses on Edge-Deployed Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11932","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:e63e23f1f719637597c42012c807b04c819d0fd18a5bcb45d732c9ddb8c45950","target":"record","created_at":"2026-07-05T00:22:28Z","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":"d6871a53c4c6843d7d8fa423fe789aa04f8ca36cd570f81b3e3a2485ffc611a0","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-11-27T03:31:04Z","title_canon_sha256":"d1a024b4d18f1c8406116979f4c70260688ca595f2e98b50f7117b45cacd4e1e"},"schema_version":"1.0","source":{"id":"1911.11932","kind":"arxiv","version":1}},"canonical_sha256":"17e0ece331f154dcb85cb21cc21c7b244892db6dc0f1eae6d6ffdfcac5d53725","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17e0ece331f154dcb85cb21cc21c7b244892db6dc0f1eae6d6ffdfcac5d53725","first_computed_at":"2026-07-05T00:22:28.828295Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:28.828295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TrfyuB0qd0AZQ7/uLT7C1z35KQ/D0e5kSdhF/1Penk3D/RuNvlT6bPM1Qrmay+0L2ELNPCrHwOGd+ngly+tsDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:28.828736Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.11932","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e63e23f1f719637597c42012c807b04c819d0fd18a5bcb45d732c9ddb8c45950","sha256:548aefc18fb1a1813b7989e6a0f497e789a7d3d396de4767d0dadf4d9af1e4f7"],"state_sha256":"08eac0e722095811707cb6881d56ef06b769deef535b8fa18eb14233f58c9de5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IfZKEbjesyo4eGnruAsfrbm07oFl3U6e/RR3TvWs+5hea4SrXYfTkaXaD+/YbcdHR8tWdD1awaOa+UiHNyBnDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:33:45.983651Z","bundle_sha256":"c6f1b0d3509b39ccd782b61326e39d7c2cf583cf190fa2fe25a724278ce8e610"}}