{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6FESK3URTKMNW2IR6AFYKIS4RB","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":"4a4859fcc64ddede9422598bfdc1f9d3311a71623254e63c07361201cace908b","cross_cats_sorted":["cs.CR","stat.AP","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-29T13:51:41Z","title_canon_sha256":"1ceee92a45490d693d1cdfe8e8c3a08922eb234fd450d732303e9219b7ad6c2e"},"schema_version":"1.0","source":{"id":"2404.18702","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18702","created_at":"2026-07-05T08:14:06Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18702v2","created_at":"2026-07-05T08:14:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18702","created_at":"2026-07-05T08:14:06Z"},{"alias_kind":"pith_short_12","alias_value":"6FESK3URTKMN","created_at":"2026-07-05T08:14:06Z"},{"alias_kind":"pith_short_16","alias_value":"6FESK3URTKMNW2IR","created_at":"2026-07-05T08:14:06Z"},{"alias_kind":"pith_short_8","alias_value":"6FESK3UR","created_at":"2026-07-05T08:14:06Z"}],"graph_snapshots":[{"event_id":"sha256:30a6991928cb6f3ea4ed2d890ba7ffff2de37fdedf15e055fcdc2002e308f2bd","target":"graph","created_at":"2026-07-05T08:14:06Z","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/2404.18702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The adoption of artificial intelligence (AI) across industries has led to the widespread use of complex black-box models and interpretation tools for decision making. This paper proposes an adversarial framework to uncover the vulnerability of permutation-based interpretation methods for machine learning tasks, with a particular focus on partial dependence (PD) plots. This adversarial framework modifies the original black box model to manipulate its predictions for instances in the extrapolation domain. As a result, it produces deceptive PD plots that can conceal discriminatory behaviors while","authors_text":"Fei Huang, Giles Hooker, Xi Xin","cross_cats":["cs.CR","stat.AP","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-29T13:51:41Z","title":"Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18702","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":"sha256:51633abe3c6dd6173a399d9ccdb36f5f4825297e41e61f9ad1cdd489dd16c9cf","target":"record","created_at":"2026-07-05T08:14:06Z","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":"4a4859fcc64ddede9422598bfdc1f9d3311a71623254e63c07361201cace908b","cross_cats_sorted":["cs.CR","stat.AP","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-29T13:51:41Z","title_canon_sha256":"1ceee92a45490d693d1cdfe8e8c3a08922eb234fd450d732303e9219b7ad6c2e"},"schema_version":"1.0","source":{"id":"2404.18702","kind":"arxiv","version":2}},"canonical_sha256":"f149256e919a98db6911f00b85225c8843601ccd7841e42d14b6a547aaca0a14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f149256e919a98db6911f00b85225c8843601ccd7841e42d14b6a547aaca0a14","first_computed_at":"2026-07-05T08:14:06.435838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:06.435838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lhjE01MeIosNw0j7v1TtFTnHyDn4PCbMEDz7jfSJQOszHJM6LmDIrMLu82jymZ7+C7vcAxfcyPT7noadJERTAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:06.436307Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.18702","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51633abe3c6dd6173a399d9ccdb36f5f4825297e41e61f9ad1cdd489dd16c9cf","sha256:30a6991928cb6f3ea4ed2d890ba7ffff2de37fdedf15e055fcdc2002e308f2bd"],"state_sha256":"cc4b253ce7c1748563560fbac3cb7ae6d0e55c60d5c71ed2ffa4548e2da3dd66"}