{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DQCJE6P7EQ35BC3VI7KUJ3V5BD","short_pith_number":"pith:DQCJE6P7","canonical_record":{"source":{"id":"1807.08379","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-22T22:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"90da5539ca3ee4d882c856a669f427a823ad61d8aa411d9913323af45083a667","abstract_canon_sha256":"22b276928674d7dacc7836c720f5e5574f106eee5a704c1859e9dfebdcf52358"},"schema_version":"1.0"},"canonical_sha256":"1c049279ff2437d08b7547d544eebd08e739ea250236f7b97c4c405c59c67907","source":{"kind":"arxiv","id":"1807.08379","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08379","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08379v2","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08379","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_12","alias_value":"DQCJE6P7EQ35","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_16","alias_value":"DQCJE6P7EQ35BC3V","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_8","alias_value":"DQCJE6P7","created_at":"2026-07-05T01:45:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DQCJE6P7EQ35BC3VI7KUJ3V5BD","target":"record","payload":{"canonical_record":{"source":{"id":"1807.08379","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-22T22:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"90da5539ca3ee4d882c856a669f427a823ad61d8aa411d9913323af45083a667","abstract_canon_sha256":"22b276928674d7dacc7836c720f5e5574f106eee5a704c1859e9dfebdcf52358"},"schema_version":"1.0"},"canonical_sha256":"1c049279ff2437d08b7547d544eebd08e739ea250236f7b97c4c405c59c67907","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:23.045343Z","signature_b64":"4pOvsDjjQvm/fgxrvfTJtO2FbEVVACLH72+CqaFmjJ+jGTvCNDxsgTkXNKxefIYN7PcpoSnEh2z+UxAhZvZMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c049279ff2437d08b7547d544eebd08e739ea250236f7b97c4c405c59c67907","last_reissued_at":"2026-07-05T01:45:23.044981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:23.044981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.08379","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":"2026-07-05T01:45:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B7Mf38m0g0gBbz2jYONYrxVeyfOt0wvqHOHrK/ADVWlrQ1VrH+CZq11Yx0hC0+2aXrkOsliDfuWfVdinuaXkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:46:23.478544Z"},"content_sha256":"38655611beebb4d685f798f6785ca4e55723fe27ff13f723cf1829d8704c36de","schema_version":"1.0","event_id":"sha256:38655611beebb4d685f798f6785ca4e55723fe27ff13f723cf1829d8704c36de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DQCJE6P7EQ35BC3VI7KUJ3V5BD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hailin Jin, Zhangyang Wang, Zhaowen Wang, Zhenyu Wu","submitted_at":"2018-07-22T22:30:56Z","abstract_excerpt":"This paper aims to improve privacy-preserving visual recognition, an increasingly demanded feature in smart camera applications, by formulating a unique adversarial training framework. The proposed framework explicitly learns a degradation transform for the original video inputs, in order to optimize the trade-off between target task performance and the associated privacy budgets on the degraded video. A notable challenge is that the privacy budget, often defined and measured in task-driven contexts, cannot be reliably indicated using any single model performance, because a strong protection o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08379","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/1807.08379/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":"2026-07-05T01:45:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9VLLpczy3h0XgBqGtIIuJvXr2wy2Ywj0okGSBuy7avmJvUVK1JGLVs4LycwoW3RfFLLqzpj2iyrMX/RmFP2ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:46:23.479138Z"},"content_sha256":"105be5d37a901fc8f7c85a71bd9168fc62445edda4cf311760169ddb27319d45","schema_version":"1.0","event_id":"sha256:105be5d37a901fc8f7c85a71bd9168fc62445edda4cf311760169ddb27319d45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/bundle.json","state_url":"https://pith.science/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/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":"2026-08-18T15:46:23Z","links":{"resolver":"https://pith.science/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD","bundle":"https://pith.science/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/bundle.json","state":"https://pith.science/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQCJE6P7EQ35BC3VI7KUJ3V5BD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DQCJE6P7EQ35BC3VI7KUJ3V5BD","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":"22b276928674d7dacc7836c720f5e5574f106eee5a704c1859e9dfebdcf52358","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-22T22:30:56Z","title_canon_sha256":"90da5539ca3ee4d882c856a669f427a823ad61d8aa411d9913323af45083a667"},"schema_version":"1.0","source":{"id":"1807.08379","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08379","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08379v2","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08379","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_12","alias_value":"DQCJE6P7EQ35","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_16","alias_value":"DQCJE6P7EQ35BC3V","created_at":"2026-07-05T01:45:23Z"},{"alias_kind":"pith_short_8","alias_value":"DQCJE6P7","created_at":"2026-07-05T01:45:23Z"}],"graph_snapshots":[{"event_id":"sha256:105be5d37a901fc8f7c85a71bd9168fc62445edda4cf311760169ddb27319d45","target":"graph","created_at":"2026-07-05T01:45:23Z","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/1807.08379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper aims to improve privacy-preserving visual recognition, an increasingly demanded feature in smart camera applications, by formulating a unique adversarial training framework. The proposed framework explicitly learns a degradation transform for the original video inputs, in order to optimize the trade-off between target task performance and the associated privacy budgets on the degraded video. A notable challenge is that the privacy budget, often defined and measured in task-driven contexts, cannot be reliably indicated using any single model performance, because a strong protection o","authors_text":"Hailin Jin, Zhangyang Wang, Zhaowen Wang, Zhenyu Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-22T22:30:56Z","title":"Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08379","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":"sha256:38655611beebb4d685f798f6785ca4e55723fe27ff13f723cf1829d8704c36de","target":"record","created_at":"2026-07-05T01:45:23Z","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":"22b276928674d7dacc7836c720f5e5574f106eee5a704c1859e9dfebdcf52358","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-22T22:30:56Z","title_canon_sha256":"90da5539ca3ee4d882c856a669f427a823ad61d8aa411d9913323af45083a667"},"schema_version":"1.0","source":{"id":"1807.08379","kind":"arxiv","version":2}},"canonical_sha256":"1c049279ff2437d08b7547d544eebd08e739ea250236f7b97c4c405c59c67907","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c049279ff2437d08b7547d544eebd08e739ea250236f7b97c4c405c59c67907","first_computed_at":"2026-07-05T01:45:23.044981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:23.044981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4pOvsDjjQvm/fgxrvfTJtO2FbEVVACLH72+CqaFmjJ+jGTvCNDxsgTkXNKxefIYN7PcpoSnEh2z+UxAhZvZMDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:23.045343Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.08379","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38655611beebb4d685f798f6785ca4e55723fe27ff13f723cf1829d8704c36de","sha256:105be5d37a901fc8f7c85a71bd9168fc62445edda4cf311760169ddb27319d45"],"state_sha256":"65e6ca9fbb8e442177480da4ceca3dbfec88b670c3718cafca72d85958d76601"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HRPEQMWC83fNtEuInY+x/fj9vynkKoe8XW/DkBbtm546w5MUUhpEDkwDp3RZ5Xs/dDLHUfZfG7OEG/pPRuLLCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:46:23.483089Z","bundle_sha256":"5b1a7566a65bd87e3503e6837c23c8c924db7e4537ed07a66b1e9667f3b8b2d4"}}