{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JZ5AEHSPL7RAM2GCX3QLQGMSNL","short_pith_number":"pith:JZ5AEHSP","canonical_record":{"source":{"id":"1905.12171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-28T03:58:55Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"60dadfadb72371114a24fce86c37bfbd8620a60e318971dc520fd041d7be2239","abstract_canon_sha256":"b2ad882cb2cca72167c89dd76ff51de8cd21d5ed33c63f750fa1f2aedf7b1eb3"},"schema_version":"1.0"},"canonical_sha256":"4e7a021e4f5fe20668c2bee0b819926adf43faf114e6ef2147ad8fe3834aff52","source":{"kind":"arxiv","id":"1905.12171","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12171","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12171v1","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12171","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"pith_short_12","alias_value":"JZ5AEHSPL7RA","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JZ5AEHSPL7RAM2GC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JZ5AEHSP","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JZ5AEHSPL7RAM2GCX3QLQGMSNL","target":"record","payload":{"canonical_record":{"source":{"id":"1905.12171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-28T03:58:55Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"60dadfadb72371114a24fce86c37bfbd8620a60e318971dc520fd041d7be2239","abstract_canon_sha256":"b2ad882cb2cca72167c89dd76ff51de8cd21d5ed33c63f750fa1f2aedf7b1eb3"},"schema_version":"1.0"},"canonical_sha256":"4e7a021e4f5fe20668c2bee0b819926adf43faf114e6ef2147ad8fe3834aff52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:46.909484Z","signature_b64":"JZEB7g+1vsXJd/EwmBiVgGQduYfPdQAhsD02N8fWXLj3U9cQQBKRKZ8ABuHTEJeNAWnnxM0R7YSVhC8xlCkRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e7a021e4f5fe20668c2bee0b819926adf43faf114e6ef2147ad8fe3834aff52","last_reissued_at":"2026-05-17T23:44:46.908940Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:46.908940Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.12171","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":"2026-05-17T23:44:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q1OtLs9uVdUOwTC34NCt5YtfPA+m+dqmjDlFmOeXkj/RURvFxsJvzEjGH2LMn68CCfApH64qX4cqMrPrf1RADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:04:59.643672Z"},"content_sha256":"68e85d8ffff444ff2abf6f177a76055de6c0e7b755a125ba811b3d81f6f20db1","schema_version":"1.0","event_id":"sha256:68e85d8ffff444ff2abf6f177a76055de6c0e7b755a125ba811b3d81f6f20db1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JZ5AEHSPL7RAM2GCX3QLQGMSNL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Brain-inspired reverse adversarial examples","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Chenglong Bao, Kaidi Xu, Kaisheng Ma, Shaokai Ye, Sia Huat Tan, Yanzhi Wang","submitted_at":"2019-05-28T03:58:55Z","abstract_excerpt":"A human does not have to see all elephants to recognize an animal as an elephant. On contrast, current state-of-the-art deep learning approaches heavily depend on the variety of training samples and the capacity of the network. In practice, the size of network is always limited and it is impossible to access all the data samples. Under this circumstance, deep learning models are extremely fragile to human-imperceivable adversarial examples, which impose threats to all safety critical systems. Inspired by the association and attention mechanisms of the human brain, we propose reverse adversaria"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12171","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":"2026-05-17T23:44:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+cFZhyKRbzNEHNsDFbXNd+b7Th9n0BNnufgQ3xZaGlBrHjF6JlevhHMGWRaazejT/xwEOUh42gNhLcOPtw2dCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:04:59.644021Z"},"content_sha256":"7bea30d8ffffecde4f42b6c6d40e2391dae662185db09de4201c494a5c1f7711","schema_version":"1.0","event_id":"sha256:7bea30d8ffffecde4f42b6c6d40e2391dae662185db09de4201c494a5c1f7711"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/bundle.json","state_url":"https://pith.science/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/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":"2026-05-31T06:04:59Z","links":{"resolver":"https://pith.science/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL","bundle":"https://pith.science/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/bundle.json","state":"https://pith.science/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZ5AEHSPL7RAM2GCX3QLQGMSNL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JZ5AEHSPL7RAM2GCX3QLQGMSNL","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":"b2ad882cb2cca72167c89dd76ff51de8cd21d5ed33c63f750fa1f2aedf7b1eb3","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-28T03:58:55Z","title_canon_sha256":"60dadfadb72371114a24fce86c37bfbd8620a60e318971dc520fd041d7be2239"},"schema_version":"1.0","source":{"id":"1905.12171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12171","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12171v1","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12171","created_at":"2026-05-17T23:44:46Z"},{"alias_kind":"pith_short_12","alias_value":"JZ5AEHSPL7RA","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JZ5AEHSPL7RAM2GC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JZ5AEHSP","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:7bea30d8ffffecde4f42b6c6d40e2391dae662185db09de4201c494a5c1f7711","target":"graph","created_at":"2026-05-17T23:44:46Z","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":"A human does not have to see all elephants to recognize an animal as an elephant. On contrast, current state-of-the-art deep learning approaches heavily depend on the variety of training samples and the capacity of the network. In practice, the size of network is always limited and it is impossible to access all the data samples. Under this circumstance, deep learning models are extremely fragile to human-imperceivable adversarial examples, which impose threats to all safety critical systems. Inspired by the association and attention mechanisms of the human brain, we propose reverse adversaria","authors_text":"Chenglong Bao, Kaidi Xu, Kaisheng Ma, Shaokai Ye, Sia Huat Tan, Yanzhi Wang","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-28T03:58:55Z","title":"Brain-inspired reverse adversarial examples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12171","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":"sha256:68e85d8ffff444ff2abf6f177a76055de6c0e7b755a125ba811b3d81f6f20db1","target":"record","created_at":"2026-05-17T23:44:46Z","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":"b2ad882cb2cca72167c89dd76ff51de8cd21d5ed33c63f750fa1f2aedf7b1eb3","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-28T03:58:55Z","title_canon_sha256":"60dadfadb72371114a24fce86c37bfbd8620a60e318971dc520fd041d7be2239"},"schema_version":"1.0","source":{"id":"1905.12171","kind":"arxiv","version":1}},"canonical_sha256":"4e7a021e4f5fe20668c2bee0b819926adf43faf114e6ef2147ad8fe3834aff52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e7a021e4f5fe20668c2bee0b819926adf43faf114e6ef2147ad8fe3834aff52","first_computed_at":"2026-05-17T23:44:46.908940Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:46.908940Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JZEB7g+1vsXJd/EwmBiVgGQduYfPdQAhsD02N8fWXLj3U9cQQBKRKZ8ABuHTEJeNAWnnxM0R7YSVhC8xlCkRDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:46.909484Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.12171","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68e85d8ffff444ff2abf6f177a76055de6c0e7b755a125ba811b3d81f6f20db1","sha256:7bea30d8ffffecde4f42b6c6d40e2391dae662185db09de4201c494a5c1f7711"],"state_sha256":"703c63bbdac5bd1d7e13aee74a273d23a746d3c2ab6630ff3e972ccc37d49697"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4sE5Wx6Q0NEuZXNlqXpkn6S3+RouawIBU4rCbXuyGzDoHASks21NrimPlYZF6ppLqSL9g6ZfUI5+o+05yaLPAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T06:04:59.646389Z","bundle_sha256":"d2aa274506f471b237b83ced47316f0d73e38217933330e802f7f2308e0545e0"}}