{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:W5EJV7LTVSUOCAO67KUS2XHHMY","short_pith_number":"pith:W5EJV7LT","canonical_record":{"source":{"id":"2109.03975","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-08T23:44:57Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"00d9926d11d2978766a36e8b3a10aeb820c33280697f6a57a3b59069adcba0fb","abstract_canon_sha256":"6d5a6db424ad6f0965a2863ea25e94cfd673e1f3318102e7599de74b34c94b12"},"schema_version":"1.0"},"canonical_sha256":"b7489afd73aca8e101defaa92d5ce7660d7386aa1b20b7ab0e9f964754a878c9","source":{"kind":"arxiv","id":"2109.03975","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03975","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03975v3","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03975","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_12","alias_value":"W5EJV7LTVSUO","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_16","alias_value":"W5EJV7LTVSUOCAO6","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_8","alias_value":"W5EJV7LT","created_at":"2026-07-05T05:16:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:W5EJV7LTVSUOCAO67KUS2XHHMY","target":"record","payload":{"canonical_record":{"source":{"id":"2109.03975","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-08T23:44:57Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"00d9926d11d2978766a36e8b3a10aeb820c33280697f6a57a3b59069adcba0fb","abstract_canon_sha256":"6d5a6db424ad6f0965a2863ea25e94cfd673e1f3318102e7599de74b34c94b12"},"schema_version":"1.0"},"canonical_sha256":"b7489afd73aca8e101defaa92d5ce7660d7386aa1b20b7ab0e9f964754a878c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:16:31.459670Z","signature_b64":"bdZ/evI4YcBSatHV8/72si8DLirvjKpAv7GGZo/BaYdmxdXBTT5+WyoHDPnLoxEmXFQl5Wi09Jngp0oLeD1CDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7489afd73aca8e101defaa92d5ce7660d7386aa1b20b7ab0e9f964754a878c9","last_reissued_at":"2026-07-05T05:16:31.459248Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:16:31.459248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.03975","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:16:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kD5DsNl06mICD1fjkzb2aWG4NmCdxH2Pw9LoDYCXfi2Pcp3Hs6SFMDpcwzLyMwi9UbDByWSN7f63hnyhQAk1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:23:53.412299Z"},"content_sha256":"23f8401b9ff330fe04b8a46551d59a6e43ffb07f24a76f80b4827a40933d910a","schema_version":"1.0","event_id":"sha256:23f8401b9ff330fe04b8a46551d59a6e43ffb07f24a76f80b4827a40933d910a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:W5EJV7LTVSUOCAO67KUS2XHHMY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Alexander Wong, Doina Precup, Hossein Aboutalebi, Maziar Gomrokchi, Susan Amin","submitted_at":"2021-09-08T23:44:57Z","abstract_excerpt":"While significant research advances have been made in the field of deep reinforcement learning, there have been no concrete adversarial attack strategies in literature tailored for studying the vulnerability of deep reinforcement learning algorithms to membership inference attacks. In such attacking systems, the adversary targets the set of collected input data on which the deep reinforcement learning algorithm has been trained. To address this gap, we propose an adversarial attack framework designed for testing the vulnerability of a state-of-the-art deep reinforcement learning algorithm to a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03975","kind":"arxiv","version":3},"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/2109.03975/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":"2026-07-05T05:16:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KIf4GoMXNcuHDVRH0B9ILT9+PkNODkAWzNUGP0BxNzuRGo5cWxAEw/nPKV6i5nl2+K7DtT+TG6QcCOHuk8eWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:23:53.413472Z"},"content_sha256":"5a4a161d2ef494679f530c2361f1e71ecbcbb6f0c5e77d6cf598c87082042975","schema_version":"1.0","event_id":"sha256:5a4a161d2ef494679f530c2361f1e71ecbcbb6f0c5e77d6cf598c87082042975"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/bundle.json","state_url":"https://pith.science/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/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":"2026-08-13T15:23:53Z","links":{"resolver":"https://pith.science/pith/W5EJV7LTVSUOCAO67KUS2XHHMY","bundle":"https://pith.science/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/bundle.json","state":"https://pith.science/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W5EJV7LTVSUOCAO67KUS2XHHMY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:W5EJV7LTVSUOCAO67KUS2XHHMY","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":"6d5a6db424ad6f0965a2863ea25e94cfd673e1f3318102e7599de74b34c94b12","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-08T23:44:57Z","title_canon_sha256":"00d9926d11d2978766a36e8b3a10aeb820c33280697f6a57a3b59069adcba0fb"},"schema_version":"1.0","source":{"id":"2109.03975","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03975","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03975v3","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03975","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_12","alias_value":"W5EJV7LTVSUO","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_16","alias_value":"W5EJV7LTVSUOCAO6","created_at":"2026-07-05T05:16:31Z"},{"alias_kind":"pith_short_8","alias_value":"W5EJV7LT","created_at":"2026-07-05T05:16:31Z"}],"graph_snapshots":[{"event_id":"sha256:5a4a161d2ef494679f530c2361f1e71ecbcbb6f0c5e77d6cf598c87082042975","target":"graph","created_at":"2026-07-05T05:16:31Z","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/2109.03975/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While significant research advances have been made in the field of deep reinforcement learning, there have been no concrete adversarial attack strategies in literature tailored for studying the vulnerability of deep reinforcement learning algorithms to membership inference attacks. In such attacking systems, the adversary targets the set of collected input data on which the deep reinforcement learning algorithm has been trained. To address this gap, we propose an adversarial attack framework designed for testing the vulnerability of a state-of-the-art deep reinforcement learning algorithm to a","authors_text":"Alexander Wong, Doina Precup, Hossein Aboutalebi, Maziar Gomrokchi, Susan Amin","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-08T23:44:57Z","title":"Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03975","kind":"arxiv","version":3},"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":"sha256:23f8401b9ff330fe04b8a46551d59a6e43ffb07f24a76f80b4827a40933d910a","target":"record","created_at":"2026-07-05T05:16:31Z","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":"6d5a6db424ad6f0965a2863ea25e94cfd673e1f3318102e7599de74b34c94b12","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-08T23:44:57Z","title_canon_sha256":"00d9926d11d2978766a36e8b3a10aeb820c33280697f6a57a3b59069adcba0fb"},"schema_version":"1.0","source":{"id":"2109.03975","kind":"arxiv","version":3}},"canonical_sha256":"b7489afd73aca8e101defaa92d5ce7660d7386aa1b20b7ab0e9f964754a878c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7489afd73aca8e101defaa92d5ce7660d7386aa1b20b7ab0e9f964754a878c9","first_computed_at":"2026-07-05T05:16:31.459248Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:16:31.459248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bdZ/evI4YcBSatHV8/72si8DLirvjKpAv7GGZo/BaYdmxdXBTT5+WyoHDPnLoxEmXFQl5Wi09Jngp0oLeD1CDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:16:31.459670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.03975","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23f8401b9ff330fe04b8a46551d59a6e43ffb07f24a76f80b4827a40933d910a","sha256:5a4a161d2ef494679f530c2361f1e71ecbcbb6f0c5e77d6cf598c87082042975"],"state_sha256":"ef55d85896d2336fd7589d2173deeee80b7a300e75e1afaf336791a0aae4aa7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hCSOTAmBvnXMGk3fyll316yvmuuOrbOwscDwIrXJ1F/gFIq8y1FF0RD0zKpYZJbAs27kVEe/Mzh++tymqQNsAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T15:23:53.432857Z","bundle_sha256":"65fa61abf4c3bfeed9b4cffca651f9f0a3949a3b3644d8a0c71c7e254fdb6b39"}}