{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:46YDDDSQDABPSDVTT3ODAHV5DJ","short_pith_number":"pith:46YDDDSQ","canonical_record":{"source":{"id":"2202.02236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T17:03:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"23473b3136821f5b88448dfc7b533e49fd726d295d0f760f7103b2c9e0e815c8","abstract_canon_sha256":"3a8f8b540822ac9abbc9d6cb9e0d8cfbb125661a955e476654915d86df6576c7"},"schema_version":"1.0"},"canonical_sha256":"e7b0318e501802f90eb39edc301ebd1a4e0cc90d8f99c94c2a7258a553af005a","source":{"kind":"arxiv","id":"2202.02236","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02236","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02236v1","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02236","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"46YDDDSQDABP","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"46YDDDSQDABPSDVT","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"46YDDDSQ","created_at":"2026-07-05T05:04:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:46YDDDSQDABPSDVTT3ODAHV5DJ","target":"record","payload":{"canonical_record":{"source":{"id":"2202.02236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T17:03:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"23473b3136821f5b88448dfc7b533e49fd726d295d0f760f7103b2c9e0e815c8","abstract_canon_sha256":"3a8f8b540822ac9abbc9d6cb9e0d8cfbb125661a955e476654915d86df6576c7"},"schema_version":"1.0"},"canonical_sha256":"e7b0318e501802f90eb39edc301ebd1a4e0cc90d8f99c94c2a7258a553af005a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:02.884549Z","signature_b64":"X2C7KSkKhPQNrwC02oToFdAk3GdvAt30eOYBFYQiQ+1SKkHF+SaKVj52oXnt1GtWewcXS+RWjWUD0/Cle+P8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7b0318e501802f90eb39edc301ebd1a4e0cc90d8f99c94c2a7258a553af005a","last_reissued_at":"2026-07-05T05:04:02.884063Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:02.884063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.02236","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:04:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KmP0uQOqS2zSxNVcba9vcu5MT2L/AsRlkU2Y/+TF+KbHYOzSMXuyPPvraY7TgH94ytlskxbGOj3GmLnirRQEBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:58:28.460762Z"},"content_sha256":"cde8a1c5ef108c611f524f9e39c736cda51ae85329a2114b0cc4e143aeaafcb4","schema_version":"1.0","event_id":"sha256:cde8a1c5ef108c611f524f9e39c736cda51ae85329a2114b0cc4e143aeaafcb4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:46YDDDSQDABPSDVTT3ODAHV5DJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pixle: a fast and effective black-box attack based on rearranging pixels","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aurelio Uncini, Jary Pomponi, Simone Scardapane","submitted_at":"2022-02-04T17:03:32Z","abstract_excerpt":"Recent research has found that neural networks are vulnerable to several types of adversarial attacks, where the input samples are modified in such a way that the model produces a wrong prediction that misclassifies the adversarial sample. In this paper we focus on black-box adversarial attacks, that can be performed without knowing the inner structure of the attacked model, nor the training procedure, and we propose a novel attack that is capable of correctly attacking a high percentage of samples by rearranging a small number of pixels within the attacked image. We demonstrate that our attac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02236","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/2202.02236/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":"2026-07-05T05:04:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R48Wq/UrYFflZRmtiNnj7bZS3fNeCjoB6KEgu/YNsIMyI8K66u/HsfB3LkvQgIodp2psWouucV5UOrknXNQ2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:58:28.461788Z"},"content_sha256":"3a65b878f924784fc3c682c1bad37bcf94bd99e75fdf3a7d5ba64b52d9163741","schema_version":"1.0","event_id":"sha256:3a65b878f924784fc3c682c1bad37bcf94bd99e75fdf3a7d5ba64b52d9163741"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/bundle.json","state_url":"https://pith.science/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/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":"2026-08-18T02:58:28Z","links":{"resolver":"https://pith.science/pith/46YDDDSQDABPSDVTT3ODAHV5DJ","bundle":"https://pith.science/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/bundle.json","state":"https://pith.science/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/46YDDDSQDABPSDVTT3ODAHV5DJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:46YDDDSQDABPSDVTT3ODAHV5DJ","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":"3a8f8b540822ac9abbc9d6cb9e0d8cfbb125661a955e476654915d86df6576c7","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T17:03:32Z","title_canon_sha256":"23473b3136821f5b88448dfc7b533e49fd726d295d0f760f7103b2c9e0e815c8"},"schema_version":"1.0","source":{"id":"2202.02236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02236","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02236v1","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02236","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"46YDDDSQDABP","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"46YDDDSQDABPSDVT","created_at":"2026-07-05T05:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"46YDDDSQ","created_at":"2026-07-05T05:04:02Z"}],"graph_snapshots":[{"event_id":"sha256:3a65b878f924784fc3c682c1bad37bcf94bd99e75fdf3a7d5ba64b52d9163741","target":"graph","created_at":"2026-07-05T05:04:02Z","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/2202.02236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research has found that neural networks are vulnerable to several types of adversarial attacks, where the input samples are modified in such a way that the model produces a wrong prediction that misclassifies the adversarial sample. In this paper we focus on black-box adversarial attacks, that can be performed without knowing the inner structure of the attacked model, nor the training procedure, and we propose a novel attack that is capable of correctly attacking a high percentage of samples by rearranging a small number of pixels within the attacked image. We demonstrate that our attac","authors_text":"Aurelio Uncini, Jary Pomponi, Simone Scardapane","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T17:03:32Z","title":"Pixle: a fast and effective black-box attack based on rearranging pixels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02236","kind":"arxiv","version":1},"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:cde8a1c5ef108c611f524f9e39c736cda51ae85329a2114b0cc4e143aeaafcb4","target":"record","created_at":"2026-07-05T05:04:02Z","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":"3a8f8b540822ac9abbc9d6cb9e0d8cfbb125661a955e476654915d86df6576c7","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T17:03:32Z","title_canon_sha256":"23473b3136821f5b88448dfc7b533e49fd726d295d0f760f7103b2c9e0e815c8"},"schema_version":"1.0","source":{"id":"2202.02236","kind":"arxiv","version":1}},"canonical_sha256":"e7b0318e501802f90eb39edc301ebd1a4e0cc90d8f99c94c2a7258a553af005a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7b0318e501802f90eb39edc301ebd1a4e0cc90d8f99c94c2a7258a553af005a","first_computed_at":"2026-07-05T05:04:02.884063Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:02.884063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X2C7KSkKhPQNrwC02oToFdAk3GdvAt30eOYBFYQiQ+1SKkHF+SaKVj52oXnt1GtWewcXS+RWjWUD0/Cle+P8DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:02.884549Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.02236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cde8a1c5ef108c611f524f9e39c736cda51ae85329a2114b0cc4e143aeaafcb4","sha256:3a65b878f924784fc3c682c1bad37bcf94bd99e75fdf3a7d5ba64b52d9163741"],"state_sha256":"a08774c4155fb88d0ceae991972142bff075dbbb660cd85983f3a9ec0ec483cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z5yBZm+Yr3Ez4YLgxJpg/Mqgwgn4t7UMciOYxXROp8DFUUrx/Tgm7Dm88gPCSDrGagEbLRqY0taZv4dELeSHDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:58:28.523348Z","bundle_sha256":"4bc54e0339b5b6426fe2e76668a4dd736f84314d0bd83e14b32f6415019e9c8c"}}