{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:KHTRQXYKSOP2ULFO6YZWJNED73","short_pith_number":"pith:KHTRQXYK","schema_version":"1.0","canonical_sha256":"51e7185f0a939faa2caef63364b483fee52251d8db211eadf54adf93b6480ae7","source":{"kind":"arxiv","id":"2008.07685","version":1},"attestation_state":"computed","paper":{"title":"Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Shrikanth Narayanan, Wael AbdAlmageed","submitted_at":"2020-08-18T00:58:19Z","abstract_excerpt":"Robust speaker recognition, including in the presence of malicious attacks, is becoming increasingly important and essential, especially due to the proliferation of several smart speakers and personal agents that interact with an individual's voice commands to perform diverse, and even sensitive tasks. Adversarial attack is a recently revived domain which is shown to be effective in breaking deep neural network-based classifiers, specifically, by forcing them to change their posterior distribution by only perturbing the input samples by a very small amount. Although, significant progress in th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2008.07685","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T00:58:19Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"d9e1d96e459d8bb5e10c5a7263e152cc9405ecf5d9ce80dacbdeb45d391af301","abstract_canon_sha256":"f71c5ee31d6bfe52af0772ac2492336330e16bca9d93bc489cffe5ee3d821de2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:16:14.691517Z","signature_b64":"3lBFR4O1t04+CSImltR7FfjmrWZVbDF1lbgL5jvaD2lzSSqQ1nf4sSLShx/pgju/LeGFlpQy/w2OSn88fLpADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51e7185f0a939faa2caef63364b483fee52251d8db211eadf54adf93b6480ae7","last_reissued_at":"2026-07-05T02:16:14.690822Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:16:14.690822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Shrikanth Narayanan, Wael AbdAlmageed","submitted_at":"2020-08-18T00:58:19Z","abstract_excerpt":"Robust speaker recognition, including in the presence of malicious attacks, is becoming increasingly important and essential, especially due to the proliferation of several smart speakers and personal agents that interact with an individual's voice commands to perform diverse, and even sensitive tasks. Adversarial attack is a recently revived domain which is shown to be effective in breaking deep neural network-based classifiers, specifically, by forcing them to change their posterior distribution by only perturbing the input samples by a very small amount. Although, significant progress in th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07685","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/2008.07685/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2008.07685","created_at":"2026-07-05T02:16:14.690882+00:00"},{"alias_kind":"arxiv_version","alias_value":"2008.07685v1","created_at":"2026-07-05T02:16:14.690882+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07685","created_at":"2026-07-05T02:16:14.690882+00:00"},{"alias_kind":"pith_short_12","alias_value":"KHTRQXYKSOP2","created_at":"2026-07-05T02:16:14.690882+00:00"},{"alias_kind":"pith_short_16","alias_value":"KHTRQXYKSOP2ULFO","created_at":"2026-07-05T02:16:14.690882+00:00"},{"alias_kind":"pith_short_8","alias_value":"KHTRQXYK","created_at":"2026-07-05T02:16:14.690882+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73","json":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73.json","graph_json":"https://pith.science/api/pith-number/KHTRQXYKSOP2ULFO6YZWJNED73/graph.json","events_json":"https://pith.science/api/pith-number/KHTRQXYKSOP2ULFO6YZWJNED73/events.json","paper":"https://pith.science/paper/KHTRQXYK"},"agent_actions":{"view_html":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73","download_json":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73.json","view_paper":"https://pith.science/paper/KHTRQXYK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2008.07685&json=true","fetch_graph":"https://pith.science/api/pith-number/KHTRQXYKSOP2ULFO6YZWJNED73/graph.json","fetch_events":"https://pith.science/api/pith-number/KHTRQXYKSOP2ULFO6YZWJNED73/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73/action/storage_attestation","attest_author":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73/action/author_attestation","sign_citation":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73/action/citation_signature","submit_replication":"https://pith.science/pith/KHTRQXYKSOP2ULFO6YZWJNED73/action/replication_record"}},"created_at":"2026-07-05T02:16:14.690882+00:00","updated_at":"2026-07-05T02:16:14.690882+00:00"}