{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:C7EXSCSEJNS3POPQQGT7KIEEXE","short_pith_number":"pith:C7EXSCSE","canonical_record":{"source":{"id":"1904.11082","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-24T21:41:04Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"da3324a01bef17a9a2f1ebb6417d5347a1b8978292ea31864f998f0f92d1b19c","abstract_canon_sha256":"f2496183bde836dc4bc88d749e31508c9b4a8b1bc4fcab2e4a61af95b03d2ea1"},"schema_version":"1.0"},"canonical_sha256":"17c9790a444b65b7b9f081a7f52084b936299ec1fccee4192c63733d7f24f416","source":{"kind":"arxiv","id":"1904.11082","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11082","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11082v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11082","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"C7EXSCSEJNS3","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"C7EXSCSEJNS3POPQ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"C7EXSCSE","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:C7EXSCSEJNS3POPQQGT7KIEEXE","target":"record","payload":{"canonical_record":{"source":{"id":"1904.11082","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-24T21:41:04Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"da3324a01bef17a9a2f1ebb6417d5347a1b8978292ea31864f998f0f92d1b19c","abstract_canon_sha256":"f2496183bde836dc4bc88d749e31508c9b4a8b1bc4fcab2e4a61af95b03d2ea1"},"schema_version":"1.0"},"canonical_sha256":"17c9790a444b65b7b9f081a7f52084b936299ec1fccee4192c63733d7f24f416","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:45.873953Z","signature_b64":"QErCqOFbYnzVO1CxYcJU/hykrc3Fq0md7Z89Kb5YiLBYbe215UoN75tuiuh9ecR6Q0B/pzAYFiOqc9qxP5LeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17c9790a444b65b7b9f081a7f52084b936299ec1fccee4192c63733d7f24f416","last_reissued_at":"2026-05-17T23:47:45.873298Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:45.873298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.11082","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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wpbI8NfFwk5gKw3MBd5sbrnOqKcWRCsOi2s6hNPldx5uOFj0sOvDdelWPiHWCGpeTRKxTcRHS1gYnrgtDHeMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T10:59:41.011483Z"},"content_sha256":"0ddb8af518401297bed5690c67202a048f9ee624f025f0b6d67d8877c0cc4fbc","schema_version":"1.0","event_id":"sha256:0ddb8af518401297bed5690c67202a048f9ee624f025f0b6d67d8877c0cc4fbc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:C7EXSCSEJNS3POPQQGT7KIEEXE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bo Li, Dawn Song, Jinfeng Yi, Weiyao Wang, Xiaoshuai Zhang, Xinlei Pan","submitted_at":"2019-04-24T21:41:04Z","abstract_excerpt":"Machine learning has been widely applied to various applications, some of which involve training with privacy-sensitive data. A modest number of data breaches have been studied, including credit card information in natural language data and identities from face dataset. However, most of these studies focus on supervised learning models. As deep reinforcement learning (DRL) has been deployed in a number of real-world systems, such as indoor robot navigation, whether trained DRL policies can leak private information requires in-depth study. To explore such privacy breaches in general, we mainly "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11082","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":"2026-05-17T23:47:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RAdYQlDfvUFNbsN3kwwkmhIpemYGPePrtkMQCyL7214cuEjj6RYqfRraqifK2lBc2oTWfcb6TQudLv/mUj8GAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T10:59:41.012169Z"},"content_sha256":"0c53d1e8959c7fb1d41cf9c98edb61bacb50a7a2fa144516c430f283c24427da","schema_version":"1.0","event_id":"sha256:0c53d1e8959c7fb1d41cf9c98edb61bacb50a7a2fa144516c430f283c24427da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/bundle.json","state_url":"https://pith.science/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/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":"2026-05-25T10:59:41Z","links":{"resolver":"https://pith.science/pith/C7EXSCSEJNS3POPQQGT7KIEEXE","bundle":"https://pith.science/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/bundle.json","state":"https://pith.science/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C7EXSCSEJNS3POPQQGT7KIEEXE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:C7EXSCSEJNS3POPQQGT7KIEEXE","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":"f2496183bde836dc4bc88d749e31508c9b4a8b1bc4fcab2e4a61af95b03d2ea1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-24T21:41:04Z","title_canon_sha256":"da3324a01bef17a9a2f1ebb6417d5347a1b8978292ea31864f998f0f92d1b19c"},"schema_version":"1.0","source":{"id":"1904.11082","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11082","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11082v1","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11082","created_at":"2026-05-17T23:47:45Z"},{"alias_kind":"pith_short_12","alias_value":"C7EXSCSEJNS3","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"C7EXSCSEJNS3POPQ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"C7EXSCSE","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:0c53d1e8959c7fb1d41cf9c98edb61bacb50a7a2fa144516c430f283c24427da","target":"graph","created_at":"2026-05-17T23:47:45Z","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 has been widely applied to various applications, some of which involve training with privacy-sensitive data. A modest number of data breaches have been studied, including credit card information in natural language data and identities from face dataset. However, most of these studies focus on supervised learning models. As deep reinforcement learning (DRL) has been deployed in a number of real-world systems, such as indoor robot navigation, whether trained DRL policies can leak private information requires in-depth study. To explore such privacy breaches in general, we mainly ","authors_text":"Bo Li, Dawn Song, Jinfeng Yi, Weiyao Wang, Xiaoshuai Zhang, Xinlei Pan","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-24T21:41:04Z","title":"How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11082","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":"sha256:0ddb8af518401297bed5690c67202a048f9ee624f025f0b6d67d8877c0cc4fbc","target":"record","created_at":"2026-05-17T23:47:45Z","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":"f2496183bde836dc4bc88d749e31508c9b4a8b1bc4fcab2e4a61af95b03d2ea1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-24T21:41:04Z","title_canon_sha256":"da3324a01bef17a9a2f1ebb6417d5347a1b8978292ea31864f998f0f92d1b19c"},"schema_version":"1.0","source":{"id":"1904.11082","kind":"arxiv","version":1}},"canonical_sha256":"17c9790a444b65b7b9f081a7f52084b936299ec1fccee4192c63733d7f24f416","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17c9790a444b65b7b9f081a7f52084b936299ec1fccee4192c63733d7f24f416","first_computed_at":"2026-05-17T23:47:45.873298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:45.873298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QErCqOFbYnzVO1CxYcJU/hykrc3Fq0md7Z89Kb5YiLBYbe215UoN75tuiuh9ecR6Q0B/pzAYFiOqc9qxP5LeBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:45.873953Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.11082","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ddb8af518401297bed5690c67202a048f9ee624f025f0b6d67d8877c0cc4fbc","sha256:0c53d1e8959c7fb1d41cf9c98edb61bacb50a7a2fa144516c430f283c24427da"],"state_sha256":"84fe117b9df417c5761eda47a2bbdd1b00615c7db2793b5bbd61458e3016afc9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kYkWbIpLzxMwkeFjKQcRKvINGaBI1idqA11+lpC47SKrxAMFledjqNgz4zka+swBAIo4aIkC28+HB/770uuFBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T10:59:41.015936Z","bundle_sha256":"09b24e7a1806b30ff9d0f80b103d49f87537c5087443a41b80cffb51f648b7d6"}}