{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RGFQOWK5PRXPXBP2DRL4VHPVZV","short_pith_number":"pith:RGFQOWK5","canonical_record":{"source":{"id":"2303.06302","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-11T04:19:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"705614f61bbe6559f42601c7e8685959963a5ec146e9f545dce3b909d99182a8","abstract_canon_sha256":"9f1ab0cbb0f06f41b7520d4731aa7cf1b715a0c77270d6722bee041d577510ef"},"schema_version":"1.0"},"canonical_sha256":"898b07595d7c6efb85fa1c57ca9df5cd7e0fc44dfeb933cd7bb043a62d8c0317","source":{"kind":"arxiv","id":"2303.06302","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06302","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06302v1","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06302","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_12","alias_value":"RGFQOWK5PRXP","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_16","alias_value":"RGFQOWK5PRXPXBP2","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_8","alias_value":"RGFQOWK5","created_at":"2026-07-05T05:50:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RGFQOWK5PRXPXBP2DRL4VHPVZV","target":"record","payload":{"canonical_record":{"source":{"id":"2303.06302","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-11T04:19:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"705614f61bbe6559f42601c7e8685959963a5ec146e9f545dce3b909d99182a8","abstract_canon_sha256":"9f1ab0cbb0f06f41b7520d4731aa7cf1b715a0c77270d6722bee041d577510ef"},"schema_version":"1.0"},"canonical_sha256":"898b07595d7c6efb85fa1c57ca9df5cd7e0fc44dfeb933cd7bb043a62d8c0317","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:17.026583Z","signature_b64":"f99sBvxqnPWAKNTe650E32oO6aJJZq2O77B0BB93vnJHG7TdlRQ2kf6Lkz1l5fLSktm9kjO6/BmxJOE4JXi8Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"898b07595d7c6efb85fa1c57ca9df5cd7e0fc44dfeb933cd7bb043a62d8c0317","last_reissued_at":"2026-07-05T05:50:17.026172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:17.026172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.06302","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":"2026-07-05T05:50:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0GDXogkCwpKm0ujFxdsg3qtP+9H1qTdIiDNrSzE55Rfiync4wIaLLgQQb8G84p4Hot0SLFXLAFfb8X6kIxYuCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:28:55.504206Z"},"content_sha256":"7fcea7a19f70cb65a8b9f8d845dbcac9d43fb1d449d5b36b9dd15be64d736d58","schema_version":"1.0","event_id":"sha256:7fcea7a19f70cb65a8b9f8d845dbcac9d43fb1d449d5b36b9dd15be64d736d58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RGFQOWK5PRXPXBP2DRL4VHPVZV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Ekram Hossain, H. Vincent Poor, Shenghong Li, Tong Sun, Wei Ni, Xin Yuan, Yulong Wang","submitted_at":"2023-03-11T04:19:31Z","abstract_excerpt":"Adversarial attacks and defenses in machine learning and deep neural network have been gaining significant attention due to the rapidly growing applications of deep learning in the Internet and relevant scenarios. This survey provides a comprehensive overview of the recent advancements in the field of adversarial attack and defense techniques, with a focus on deep neural network-based classification models. Specifically, we conduct a comprehensive classification of recent adversarial attack methods and state-of-the-art adversarial defense techniques based on attack principles, and present them"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06302","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.06302/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":"2026-07-05T05:50:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Ww1whs8eFIX0vfnAc6cUTYqVKW7T036c8k7mXmbja+j8GunlOpSuOH3mffyqPyzPakYPcFtBl9m2qg1fdy3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:28:55.504608Z"},"content_sha256":"c994dd65d990b7f4a25f30159140972ea5823cd326d2449e25140b7efd45df2e","schema_version":"1.0","event_id":"sha256:c994dd65d990b7f4a25f30159140972ea5823cd326d2449e25140b7efd45df2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/bundle.json","state_url":"https://pith.science/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/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":"2026-08-19T09:28:55Z","links":{"resolver":"https://pith.science/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV","bundle":"https://pith.science/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/bundle.json","state":"https://pith.science/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RGFQOWK5PRXPXBP2DRL4VHPVZV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RGFQOWK5PRXPXBP2DRL4VHPVZV","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":"9f1ab0cbb0f06f41b7520d4731aa7cf1b715a0c77270d6722bee041d577510ef","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-11T04:19:31Z","title_canon_sha256":"705614f61bbe6559f42601c7e8685959963a5ec146e9f545dce3b909d99182a8"},"schema_version":"1.0","source":{"id":"2303.06302","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06302","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06302v1","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06302","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_12","alias_value":"RGFQOWK5PRXP","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_16","alias_value":"RGFQOWK5PRXPXBP2","created_at":"2026-07-05T05:50:17Z"},{"alias_kind":"pith_short_8","alias_value":"RGFQOWK5","created_at":"2026-07-05T05:50:17Z"}],"graph_snapshots":[{"event_id":"sha256:c994dd65d990b7f4a25f30159140972ea5823cd326d2449e25140b7efd45df2e","target":"graph","created_at":"2026-07-05T05:50:17Z","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/2303.06302/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adversarial attacks and defenses in machine learning and deep neural network have been gaining significant attention due to the rapidly growing applications of deep learning in the Internet and relevant scenarios. This survey provides a comprehensive overview of the recent advancements in the field of adversarial attack and defense techniques, with a focus on deep neural network-based classification models. Specifically, we conduct a comprehensive classification of recent adversarial attack methods and state-of-the-art adversarial defense techniques based on attack principles, and present them","authors_text":"Ekram Hossain, H. Vincent Poor, Shenghong Li, Tong Sun, Wei Ni, Xin Yuan, Yulong Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-11T04:19:31Z","title":"Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06302","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":"sha256:7fcea7a19f70cb65a8b9f8d845dbcac9d43fb1d449d5b36b9dd15be64d736d58","target":"record","created_at":"2026-07-05T05:50:17Z","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":"9f1ab0cbb0f06f41b7520d4731aa7cf1b715a0c77270d6722bee041d577510ef","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-11T04:19:31Z","title_canon_sha256":"705614f61bbe6559f42601c7e8685959963a5ec146e9f545dce3b909d99182a8"},"schema_version":"1.0","source":{"id":"2303.06302","kind":"arxiv","version":1}},"canonical_sha256":"898b07595d7c6efb85fa1c57ca9df5cd7e0fc44dfeb933cd7bb043a62d8c0317","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"898b07595d7c6efb85fa1c57ca9df5cd7e0fc44dfeb933cd7bb043a62d8c0317","first_computed_at":"2026-07-05T05:50:17.026172Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:17.026172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f99sBvxqnPWAKNTe650E32oO6aJJZq2O77B0BB93vnJHG7TdlRQ2kf6Lkz1l5fLSktm9kjO6/BmxJOE4JXi8Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:17.026583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06302","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fcea7a19f70cb65a8b9f8d845dbcac9d43fb1d449d5b36b9dd15be64d736d58","sha256:c994dd65d990b7f4a25f30159140972ea5823cd326d2449e25140b7efd45df2e"],"state_sha256":"46dd5083597e2d95d0d91f99f29c3932b0a28b3654b3c776197cd2782c4b64df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6OgQNxE/TNhOL7wP3YAuUOXm5ybCL4HzY4GH+UrH0u/+msgzpB89shpqc3sCDREOvU5c5ACDfUOaxR9OQLCtAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T09:28:55.507087Z","bundle_sha256":"2893293fb0e8c2375c174d4a8d77ed4430c0d1f8835d601b5d8046e4cecfeab0"}}