{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:PAP3DIXHDN527JA46SCTHRKK3P","short_pith_number":"pith:PAP3DIXH","schema_version":"1.0","canonical_sha256":"781fb1a2e71b7bafa41cf48533c54adbd905bebfc14f454c735984035c0c41b6","source":{"kind":"arxiv","id":"2202.13216","version":2},"attestation_state":"computed","paper":{"title":"Adversarial robustness of sparse local Lipschitz predictors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jeremias Sulam, Ramchandran Muthukumar","submitted_at":"2022-02-26T19:48:07Z","abstract_excerpt":"This work studies the adversarial robustness of parametric functions composed of a linear predictor and a non-linear representation map. % that satisfies certain stability condition. Our analysis relies on \\emph{sparse local Lipschitzness} (SLL), an extension of local Lipschitz continuity that better captures the stability and reduced effective dimensionality of predictors upon local perturbations. SLL functions preserve a certain degree of structure, given by the sparsity pattern in the representation map, and include several popular hypothesis classes, such as piece-wise linear models, Lasso"},"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":"2202.13216","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-26T19:48:07Z","cross_cats_sorted":[],"title_canon_sha256":"9b6abaccd677f53e69b7b8e932594cc7213b468b91c30d45635e4fb31071791a","abstract_canon_sha256":"9d6920e9f0764cd410f66f67af8f6730661cad46831d5e307fb70eb005995232"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:57.751416Z","signature_b64":"P91IO8+by/jVwt8fAUn+n5lt73axiaGJk4nXMGYLaKP7B2mVWNGe/532i1lqQHMkwjUyhGDsSgsYnP8652ZTDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"781fb1a2e71b7bafa41cf48533c54adbd905bebfc14f454c735984035c0c41b6","last_reissued_at":"2026-07-05T05:47:57.750865Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:57.750865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adversarial robustness of sparse local Lipschitz predictors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jeremias Sulam, Ramchandran Muthukumar","submitted_at":"2022-02-26T19:48:07Z","abstract_excerpt":"This work studies the adversarial robustness of parametric functions composed of a linear predictor and a non-linear representation map. % that satisfies certain stability condition. Our analysis relies on \\emph{sparse local Lipschitzness} (SLL), an extension of local Lipschitz continuity that better captures the stability and reduced effective dimensionality of predictors upon local perturbations. SLL functions preserve a certain degree of structure, given by the sparsity pattern in the representation map, and include several popular hypothesis classes, such as piece-wise linear models, Lasso"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.13216","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/2202.13216/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":"2202.13216","created_at":"2026-07-05T05:47:57.750925+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.13216v2","created_at":"2026-07-05T05:47:57.750925+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.13216","created_at":"2026-07-05T05:47:57.750925+00:00"},{"alias_kind":"pith_short_12","alias_value":"PAP3DIXHDN52","created_at":"2026-07-05T05:47:57.750925+00:00"},{"alias_kind":"pith_short_16","alias_value":"PAP3DIXHDN527JA4","created_at":"2026-07-05T05:47:57.750925+00:00"},{"alias_kind":"pith_short_8","alias_value":"PAP3DIXH","created_at":"2026-07-05T05:47:57.750925+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/PAP3DIXHDN527JA46SCTHRKK3P","json":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P.json","graph_json":"https://pith.science/api/pith-number/PAP3DIXHDN527JA46SCTHRKK3P/graph.json","events_json":"https://pith.science/api/pith-number/PAP3DIXHDN527JA46SCTHRKK3P/events.json","paper":"https://pith.science/paper/PAP3DIXH"},"agent_actions":{"view_html":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P","download_json":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P.json","view_paper":"https://pith.science/paper/PAP3DIXH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.13216&json=true","fetch_graph":"https://pith.science/api/pith-number/PAP3DIXHDN527JA46SCTHRKK3P/graph.json","fetch_events":"https://pith.science/api/pith-number/PAP3DIXHDN527JA46SCTHRKK3P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P/action/storage_attestation","attest_author":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P/action/author_attestation","sign_citation":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P/action/citation_signature","submit_replication":"https://pith.science/pith/PAP3DIXHDN527JA46SCTHRKK3P/action/replication_record"}},"created_at":"2026-07-05T05:47:57.750925+00:00","updated_at":"2026-07-05T05:47:57.750925+00:00"}