{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FOWJKUWXD2D5HPFS25XBFXWQGX","short_pith_number":"pith:FOWJKUWX","canonical_record":{"source":{"id":"2104.01271","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-04-02T23:10:57Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","eess.AS"],"title_canon_sha256":"f694c0cd4a02878697d7487dac51aff2ae94e740a5e64161866ac75626475afa","abstract_canon_sha256":"71943c41f642bf9c251263dcdc3f9155f9086b858201698f1113f27488c224cc"},"schema_version":"1.0"},"canonical_sha256":"2bac9552d71e87d3bcb2d76e12ded035dec6dcebc94cd6ef8204dac358db7aad","source":{"kind":"arxiv","id":"2104.01271","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.01271","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2104.01271v2","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.01271","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"FOWJKUWXD2D5","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"FOWJKUWXD2D5HPFS","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"FOWJKUWX","created_at":"2026-07-05T03:20:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FOWJKUWXD2D5HPFS25XBFXWQGX","target":"record","payload":{"canonical_record":{"source":{"id":"2104.01271","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-04-02T23:10:57Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","eess.AS"],"title_canon_sha256":"f694c0cd4a02878697d7487dac51aff2ae94e740a5e64161866ac75626475afa","abstract_canon_sha256":"71943c41f642bf9c251263dcdc3f9155f9086b858201698f1113f27488c224cc"},"schema_version":"1.0"},"canonical_sha256":"2bac9552d71e87d3bcb2d76e12ded035dec6dcebc94cd6ef8204dac358db7aad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:54.924582Z","signature_b64":"OlSIp5sOlaqBWDfBLLY9gebPhdw8WLEU05/IhF1TXW7ZpnkUx9+1KJPzBV0vArYcRCvOAkBnBS+gRWzpWlaECQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2bac9552d71e87d3bcb2d76e12ded035dec6dcebc94cd6ef8204dac358db7aad","last_reissued_at":"2026-07-05T03:20:54.924145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:54.924145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.01271","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":"2026-07-05T03:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ES7oD0JTDFpCaUiG170lPK562TMPAHQ8W13+88RxeVduPuzV5Xf/ronLUUgNqyxh5FSjo1PeUwgZg25npf3Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:35:14.402698Z"},"content_sha256":"94381eac261099f41f8ee36d17a39b5c39e6575c66533e6d2af685689e6482f1","schema_version":"1.0","event_id":"sha256:94381eac261099f41f8ee36d17a39b5c39e6575c66533e6d2af685689e6482f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FOWJKUWXD2D5HPFS25XBFXWQGX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE","eess.AS"],"primary_cat":"cs.SD","authors_text":"Chao-Han Huck Yang, Chin-Hui Lee, Sabato Marco Siniscalchi","submitted_at":"2021-04-02T23:10:57Z","abstract_excerpt":"We propose using an adversarial autoencoder (AAE) to replace generative adversarial network (GAN) in the private aggregation of teacher ensembles (PATE), a solution for ensuring differential privacy in speech applications. The AAE architecture allows us to obtain good synthetic speech leveraging upon a discriminative training of latent vectors. Such synthetic speech is used to build a privacy-preserving classifier when non-sensitive data is not sufficiently available in the public domain. This classifier follows the PATE scheme that uses an ensemble of noisy outputs to label the synthetic samp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.01271","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/2104.01271/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":"2026-07-05T03:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PhElg18B3NZxQrOeboMAexEmdfTVn9mS3oHiwo6ZtEaajm3IwVpVnkrf4re34wOao5otFcGwKl8bszKXTVJLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:35:14.403797Z"},"content_sha256":"d09cffbdda25b1134d15b23e261d61ac61244c656e40c8b0cf90ca941c801083","schema_version":"1.0","event_id":"sha256:d09cffbdda25b1134d15b23e261d61ac61244c656e40c8b0cf90ca941c801083"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/bundle.json","state_url":"https://pith.science/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/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":"2026-08-14T01:35:14Z","links":{"resolver":"https://pith.science/pith/FOWJKUWXD2D5HPFS25XBFXWQGX","bundle":"https://pith.science/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/bundle.json","state":"https://pith.science/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FOWJKUWXD2D5HPFS25XBFXWQGX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FOWJKUWXD2D5HPFS25XBFXWQGX","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":"71943c41f642bf9c251263dcdc3f9155f9086b858201698f1113f27488c224cc","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-04-02T23:10:57Z","title_canon_sha256":"f694c0cd4a02878697d7487dac51aff2ae94e740a5e64161866ac75626475afa"},"schema_version":"1.0","source":{"id":"2104.01271","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.01271","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2104.01271v2","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.01271","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"FOWJKUWXD2D5","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"FOWJKUWXD2D5HPFS","created_at":"2026-07-05T03:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"FOWJKUWX","created_at":"2026-07-05T03:20:54Z"}],"graph_snapshots":[{"event_id":"sha256:d09cffbdda25b1134d15b23e261d61ac61244c656e40c8b0cf90ca941c801083","target":"graph","created_at":"2026-07-05T03:20:54Z","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/2104.01271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose using an adversarial autoencoder (AAE) to replace generative adversarial network (GAN) in the private aggregation of teacher ensembles (PATE), a solution for ensuring differential privacy in speech applications. The AAE architecture allows us to obtain good synthetic speech leveraging upon a discriminative training of latent vectors. Such synthetic speech is used to build a privacy-preserving classifier when non-sensitive data is not sufficiently available in the public domain. This classifier follows the PATE scheme that uses an ensemble of noisy outputs to label the synthetic samp","authors_text":"Chao-Han Huck Yang, Chin-Hui Lee, Sabato Marco Siniscalchi","cross_cats":["cs.AI","cs.LG","cs.NE","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-04-02T23:10:57Z","title":"PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.01271","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":"sha256:94381eac261099f41f8ee36d17a39b5c39e6575c66533e6d2af685689e6482f1","target":"record","created_at":"2026-07-05T03:20:54Z","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":"71943c41f642bf9c251263dcdc3f9155f9086b858201698f1113f27488c224cc","cross_cats_sorted":["cs.AI","cs.LG","cs.NE","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-04-02T23:10:57Z","title_canon_sha256":"f694c0cd4a02878697d7487dac51aff2ae94e740a5e64161866ac75626475afa"},"schema_version":"1.0","source":{"id":"2104.01271","kind":"arxiv","version":2}},"canonical_sha256":"2bac9552d71e87d3bcb2d76e12ded035dec6dcebc94cd6ef8204dac358db7aad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bac9552d71e87d3bcb2d76e12ded035dec6dcebc94cd6ef8204dac358db7aad","first_computed_at":"2026-07-05T03:20:54.924145Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:54.924145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OlSIp5sOlaqBWDfBLLY9gebPhdw8WLEU05/IhF1TXW7ZpnkUx9+1KJPzBV0vArYcRCvOAkBnBS+gRWzpWlaECQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:54.924582Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.01271","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94381eac261099f41f8ee36d17a39b5c39e6575c66533e6d2af685689e6482f1","sha256:d09cffbdda25b1134d15b23e261d61ac61244c656e40c8b0cf90ca941c801083"],"state_sha256":"8baffeff43261be82feefa3357eca8d59f9bf323ed8537a8c8d19fea218ce04f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kjeIi49sB9S24GWJuEUK/mpYO7S6Ks79+qfJZCDhzW180a7P7ZB0I8yH3AmKCrLPg7QIRE9qdCLp2lqQSMoHBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T01:35:14.414930Z","bundle_sha256":"c4786075fedbe81ffb433e74ca4473ac55a736f2f350614b4fc7edb3b6cc6c1d"}}