{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:UNNN4WTOF5R5UJ4Z5I5VDSXMGZ","short_pith_number":"pith:UNNN4WTO","canonical_record":{"source":{"id":"2010.11352","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-22T00:02:02Z","cross_cats_sorted":["cs.CR","cs.CV","cs.LG","eess.AS"],"title_canon_sha256":"32a3721479ff1eca0f6bf7059f15f05cf900da8a8e0f15d16106a87babddd912","abstract_canon_sha256":"3d9ce9605a0a000c65d72e730a1132abd64b8c7c8e6be71e68c45a7b97aac436"},"schema_version":"1.0"},"canonical_sha256":"a35ade5a6e2f63da2799ea3b51caec364c7f05dde056c574a4ea47103c4c5ce2","source":{"kind":"arxiv","id":"2010.11352","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11352","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11352v2","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11352","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_12","alias_value":"UNNN4WTOF5R5","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_16","alias_value":"UNNN4WTOF5R5UJ4Z","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_8","alias_value":"UNNN4WTO","created_at":"2026-07-05T02:16:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:UNNN4WTOF5R5UJ4Z5I5VDSXMGZ","target":"record","payload":{"canonical_record":{"source":{"id":"2010.11352","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-22T00:02:02Z","cross_cats_sorted":["cs.CR","cs.CV","cs.LG","eess.AS"],"title_canon_sha256":"32a3721479ff1eca0f6bf7059f15f05cf900da8a8e0f15d16106a87babddd912","abstract_canon_sha256":"3d9ce9605a0a000c65d72e730a1132abd64b8c7c8e6be71e68c45a7b97aac436"},"schema_version":"1.0"},"canonical_sha256":"a35ade5a6e2f63da2799ea3b51caec364c7f05dde056c574a4ea47103c4c5ce2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:16:49.944400Z","signature_b64":"gCUvPvUj9qZMjMQFPrqOHnd+pqAc7yYE82/KmEuvmXPAObPb/Ck2SaLHMRgEUNNcOY+ne2H/LvFC9JXoCHOSCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a35ade5a6e2f63da2799ea3b51caec364c7f05dde056c574a4ea47103c4c5ce2","last_reissued_at":"2026-07-05T02:16:49.943883Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:16:49.943883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.11352","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:16:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fy1fpGgadsV/UUhlJmNAQbuyUqToWR1MkpSMc6htpX2YpZENmX2sZOcfTAFvwNbgzw4YABv4CgSYUrJawOR8AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:19:54.298889Z"},"content_sha256":"695c99dd3c66c43afa0e663842c055ef8d664df4065b6b8129f0ad32d7be38f1","schema_version":"1.0","event_id":"sha256:695c99dd3c66c43afa0e663842c055ef8d664df4065b6b8129f0ad32d7be38f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:UNNN4WTOF5R5UJ4Z5I5VDSXMGZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Class-Conditional Defense GAN Against End-to-End Speech Attacks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV","cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Alessandro Lameiras Koerich, Mohammad Esmaeilpour, Patrick Cardinal","submitted_at":"2020-10-22T00:02:02Z","abstract_excerpt":"In this paper we propose a novel defense approach against end-to-end adversarial attacks developed to fool advanced speech-to-text systems such as DeepSpeech and Lingvo. Unlike conventional defense approaches, the proposed approach does not directly employ low-level transformations such as autoencoding a given input signal aiming at removing potential adversarial perturbation. Instead of that, we find an optimal input vector for a class conditional generative adversarial network through minimizing the relative chordal distance adjustment between a given test input and the generator network. Th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11352","kind":"arxiv","version":2},"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/2010.11352/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":"2026-07-05T02:16:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GupZwk03vatgt7OZM0FUKOM9nWI5VoSK7podB9jHjeW3quDfHJyTzOC0x+/2s+os0r5rngK2uKp11GFDttfHDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:19:54.299849Z"},"content_sha256":"b33f8ba0adbc685501ac8bf915254b1e2e150a187f78321e01992eec7c4bc211","schema_version":"1.0","event_id":"sha256:b33f8ba0adbc685501ac8bf915254b1e2e150a187f78321e01992eec7c4bc211"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/bundle.json","state_url":"https://pith.science/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/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":"2026-08-15T10:19:54Z","links":{"resolver":"https://pith.science/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ","bundle":"https://pith.science/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/bundle.json","state":"https://pith.science/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UNNN4WTOF5R5UJ4Z5I5VDSXMGZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UNNN4WTOF5R5UJ4Z5I5VDSXMGZ","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":"3d9ce9605a0a000c65d72e730a1132abd64b8c7c8e6be71e68c45a7b97aac436","cross_cats_sorted":["cs.CR","cs.CV","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-22T00:02:02Z","title_canon_sha256":"32a3721479ff1eca0f6bf7059f15f05cf900da8a8e0f15d16106a87babddd912"},"schema_version":"1.0","source":{"id":"2010.11352","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11352","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11352v2","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11352","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_12","alias_value":"UNNN4WTOF5R5","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_16","alias_value":"UNNN4WTOF5R5UJ4Z","created_at":"2026-07-05T02:16:49Z"},{"alias_kind":"pith_short_8","alias_value":"UNNN4WTO","created_at":"2026-07-05T02:16:49Z"}],"graph_snapshots":[{"event_id":"sha256:b33f8ba0adbc685501ac8bf915254b1e2e150a187f78321e01992eec7c4bc211","target":"graph","created_at":"2026-07-05T02:16:49Z","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/2010.11352/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we propose a novel defense approach against end-to-end adversarial attacks developed to fool advanced speech-to-text systems such as DeepSpeech and Lingvo. Unlike conventional defense approaches, the proposed approach does not directly employ low-level transformations such as autoencoding a given input signal aiming at removing potential adversarial perturbation. Instead of that, we find an optimal input vector for a class conditional generative adversarial network through minimizing the relative chordal distance adjustment between a given test input and the generator network. Th","authors_text":"Alessandro Lameiras Koerich, Mohammad Esmaeilpour, Patrick Cardinal","cross_cats":["cs.CR","cs.CV","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-22T00:02:02Z","title":"Class-Conditional Defense GAN Against End-to-End Speech Attacks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11352","kind":"arxiv","version":2},"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":"sha256:695c99dd3c66c43afa0e663842c055ef8d664df4065b6b8129f0ad32d7be38f1","target":"record","created_at":"2026-07-05T02:16:49Z","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":"3d9ce9605a0a000c65d72e730a1132abd64b8c7c8e6be71e68c45a7b97aac436","cross_cats_sorted":["cs.CR","cs.CV","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-22T00:02:02Z","title_canon_sha256":"32a3721479ff1eca0f6bf7059f15f05cf900da8a8e0f15d16106a87babddd912"},"schema_version":"1.0","source":{"id":"2010.11352","kind":"arxiv","version":2}},"canonical_sha256":"a35ade5a6e2f63da2799ea3b51caec364c7f05dde056c574a4ea47103c4c5ce2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a35ade5a6e2f63da2799ea3b51caec364c7f05dde056c574a4ea47103c4c5ce2","first_computed_at":"2026-07-05T02:16:49.943883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:16:49.943883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gCUvPvUj9qZMjMQFPrqOHnd+pqAc7yYE82/KmEuvmXPAObPb/Ck2SaLHMRgEUNNcOY+ne2H/LvFC9JXoCHOSCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:16:49.944400Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.11352","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:695c99dd3c66c43afa0e663842c055ef8d664df4065b6b8129f0ad32d7be38f1","sha256:b33f8ba0adbc685501ac8bf915254b1e2e150a187f78321e01992eec7c4bc211"],"state_sha256":"cb03ce1f63027a35277211ff8f0697fe0e3895664cf9a9bbebf607b8f34a2956"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OZF74ANNHj5Ky6td+B1bemuOZ4/TYmI+LYoQq98H7MN58vCkDg7jmadkN4e0GKgpJXGlgM0A/VdgAo4Ma+Q1DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T10:19:54.306942Z","bundle_sha256":"27fb1638e65d7bc5c320e94929a20a71b03efe7ad5ebad50986b1cb7bea9d0db"}}