{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BY4LTS2UO6PIHCCNUYKJ2NSVIR","short_pith_number":"pith:BY4LTS2U","canonical_record":{"source":{"id":"1909.04126","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-09-09T19:57:01Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"6360cd9f4bcf9e0d1faf50d13c62bd5536d57242e5f50a0bedbb6dc30cb2bf52","abstract_canon_sha256":"e434178ea05f83c0e39fd3ca0d1979026b1cd001e08cd1115abb2ae1b7dfb675"},"schema_version":"1.0"},"canonical_sha256":"0e38b9cb54779e83884da6149d36554451b60a68a07d6674724f3b80b9a5aef2","source":{"kind":"arxiv","id":"1909.04126","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04126","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04126v2","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04126","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_12","alias_value":"BY4LTS2UO6PI","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_16","alias_value":"BY4LTS2UO6PIHCCN","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_8","alias_value":"BY4LTS2U","created_at":"2026-07-05T02:37:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BY4LTS2UO6PIHCCNUYKJ2NSVIR","target":"record","payload":{"canonical_record":{"source":{"id":"1909.04126","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-09-09T19:57:01Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"6360cd9f4bcf9e0d1faf50d13c62bd5536d57242e5f50a0bedbb6dc30cb2bf52","abstract_canon_sha256":"e434178ea05f83c0e39fd3ca0d1979026b1cd001e08cd1115abb2ae1b7dfb675"},"schema_version":"1.0"},"canonical_sha256":"0e38b9cb54779e83884da6149d36554451b60a68a07d6674724f3b80b9a5aef2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:54.597350Z","signature_b64":"aga7/2+CiQLoXU0pozIdgq4cQO4cSlmAfpXfmSwE80M4zYNVDytuM8R3fuxMgIklDTzFWwmcexlHVo4GfdLhCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e38b9cb54779e83884da6149d36554451b60a68a07d6674724f3b80b9a5aef2","last_reissued_at":"2026-07-05T02:37:54.596789Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:54.596789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.04126","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:37:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oq6m9LzToiM7pW6EuLfSqt+p8YVbOJEtgIA5zEhvQI7+Cq9iKBCK3oSKIz+NmaQ5+GdyLhHJN02eGjm6n8yeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:01:46.639731Z"},"content_sha256":"122808f38ed9abe08b5823c43a7c7a46be9a30e1bf75a11239a298f7946a2750","schema_version":"1.0","event_id":"sha256:122808f38ed9abe08b5823c43a7c7a46be9a30e1bf75a11239a298f7946a2750"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BY4LTS2UO6PIHCCNUYKJ2NSVIR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG"],"primary_cat":"cs.CR","authors_text":"Ang Li, Flora D. Salim, Huanrui Yang, Jiayi Guo, Yiran Chen","submitted_at":"2019-09-09T19:57:01Z","abstract_excerpt":"Deep learning has been widely applied in many computer vision applications, with remarkable success. However, running deep learning models on mobile devices is generally challenging due to the limitation of computing resources. A popular alternative is to use cloud services to run deep learning models to process raw data. This, however, imposes privacy risks. Some prior arts proposed sending the features extracted from raw data to the cloud. Unfortunately, these extracted features can still be exploited by attackers to recover raw images and to infer embedded private attributes. In this paper,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04126","kind":"arxiv","version":2},"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/1909.04126/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":"2026-07-05T02:37:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L5j6c2IZ524MLv320fXMkvm6rgiVj/tXwI58283tDpq9VA59lZ9pW0Uq67Dk1Sw2XNDivI2N+zi/9nXHTsKgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:01:46.640242Z"},"content_sha256":"d28580859182dee2ab092888fc646bd77635ca0e7b6b47191e5f853a91e886a0","schema_version":"1.0","event_id":"sha256:d28580859182dee2ab092888fc646bd77635ca0e7b6b47191e5f853a91e886a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/bundle.json","state_url":"https://pith.science/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/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":"2026-08-09T04:01:46Z","links":{"resolver":"https://pith.science/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR","bundle":"https://pith.science/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/bundle.json","state":"https://pith.science/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BY4LTS2UO6PIHCCNUYKJ2NSVIR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BY4LTS2UO6PIHCCNUYKJ2NSVIR","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":"e434178ea05f83c0e39fd3ca0d1979026b1cd001e08cd1115abb2ae1b7dfb675","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-09-09T19:57:01Z","title_canon_sha256":"6360cd9f4bcf9e0d1faf50d13c62bd5536d57242e5f50a0bedbb6dc30cb2bf52"},"schema_version":"1.0","source":{"id":"1909.04126","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04126","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04126v2","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04126","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_12","alias_value":"BY4LTS2UO6PI","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_16","alias_value":"BY4LTS2UO6PIHCCN","created_at":"2026-07-05T02:37:54Z"},{"alias_kind":"pith_short_8","alias_value":"BY4LTS2U","created_at":"2026-07-05T02:37:54Z"}],"graph_snapshots":[{"event_id":"sha256:d28580859182dee2ab092888fc646bd77635ca0e7b6b47191e5f853a91e886a0","target":"graph","created_at":"2026-07-05T02:37:54Z","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/1909.04126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has been widely applied in many computer vision applications, with remarkable success. However, running deep learning models on mobile devices is generally challenging due to the limitation of computing resources. A popular alternative is to use cloud services to run deep learning models to process raw data. This, however, imposes privacy risks. Some prior arts proposed sending the features extracted from raw data to the cloud. Unfortunately, these extracted features can still be exploited by attackers to recover raw images and to infer embedded private attributes. In this paper,","authors_text":"Ang Li, Flora D. Salim, Huanrui Yang, Jiayi Guo, Yiran Chen","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-09-09T19:57:01Z","title":"DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04126","kind":"arxiv","version":2},"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":"sha256:122808f38ed9abe08b5823c43a7c7a46be9a30e1bf75a11239a298f7946a2750","target":"record","created_at":"2026-07-05T02:37:54Z","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":"e434178ea05f83c0e39fd3ca0d1979026b1cd001e08cd1115abb2ae1b7dfb675","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-09-09T19:57:01Z","title_canon_sha256":"6360cd9f4bcf9e0d1faf50d13c62bd5536d57242e5f50a0bedbb6dc30cb2bf52"},"schema_version":"1.0","source":{"id":"1909.04126","kind":"arxiv","version":2}},"canonical_sha256":"0e38b9cb54779e83884da6149d36554451b60a68a07d6674724f3b80b9a5aef2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e38b9cb54779e83884da6149d36554451b60a68a07d6674724f3b80b9a5aef2","first_computed_at":"2026-07-05T02:37:54.596789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:54.596789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aga7/2+CiQLoXU0pozIdgq4cQO4cSlmAfpXfmSwE80M4zYNVDytuM8R3fuxMgIklDTzFWwmcexlHVo4GfdLhCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:54.597350Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.04126","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:122808f38ed9abe08b5823c43a7c7a46be9a30e1bf75a11239a298f7946a2750","sha256:d28580859182dee2ab092888fc646bd77635ca0e7b6b47191e5f853a91e886a0"],"state_sha256":"c1a9d0e380852a552d31b5b8729bee6b1692c171c4a833153fa08f6f615580bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MufmEbdewIWGoAd1S5peHnt3blpgDIz152WBJAIjqc5O/wvKgJvWVogtMr9vztnu+pENCQzcrHwLPQmK2fGcDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:01:46.644611Z","bundle_sha256":"e936798d730f144a3f2d099f16694b3d8b4449f79246fc22315fa6a985abe984"}}