{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:W6AVWZLCEIKIL6TBO7NKL436A3","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":"edf4bdec470cd53248d54266ff529154f3335b9d973c06613345d40535e1239e","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T18:21:17Z","title_canon_sha256":"32541bc50f1fade6e4b261e1d9112a6e161e48f8341048f38e99d605bac30450"},"schema_version":"1.0","source":{"id":"1811.01031","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.01031","created_at":"2026-07-05T01:02:42Z"},{"alias_kind":"arxiv_version","alias_value":"1811.01031v3","created_at":"2026-07-05T01:02:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.01031","created_at":"2026-07-05T01:02:42Z"},{"alias_kind":"pith_short_12","alias_value":"W6AVWZLCEIKI","created_at":"2026-07-05T01:02:42Z"},{"alias_kind":"pith_short_16","alias_value":"W6AVWZLCEIKIL6TB","created_at":"2026-07-05T01:02:42Z"},{"alias_kind":"pith_short_8","alias_value":"W6AVWZLC","created_at":"2026-07-05T01:02:42Z"}],"graph_snapshots":[{"event_id":"sha256:dc793ad20eaceab53c63efcc0c0a40c584902bd9603af0ce3a32cce7add771d6","target":"graph","created_at":"2026-07-05T01:02:42Z","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/1811.01031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most of the data manipulation attacks on deep neural networks (DNNs) during the training stage introduce a perceptible noise that can be catered by preprocessing during inference or can be identified during the validation phase. Therefore, data poisoning attacks during inference (e.g., adversarial attacks) are becoming more popular. However, many of them do not consider the imperceptibility factor in their optimization algorithms, and can be detected by correlation and structural similarity analysis, or noticeable (e.g., by humans) in a multi-level security system. Moreover, the majority of th","authors_text":"Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique, Rehan Ahmed, Semeen Rehman","cross_cats":["cs.CR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T18:21:17Z","title":"TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.01031","kind":"arxiv","version":3},"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:e86fbcdf06e7cdb0ab29354ea0f5addb14c7a1bd30366d937d1c2fda181ab955","target":"record","created_at":"2026-07-05T01:02:42Z","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":"edf4bdec470cd53248d54266ff529154f3335b9d973c06613345d40535e1239e","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-02T18:21:17Z","title_canon_sha256":"32541bc50f1fade6e4b261e1d9112a6e161e48f8341048f38e99d605bac30450"},"schema_version":"1.0","source":{"id":"1811.01031","kind":"arxiv","version":3}},"canonical_sha256":"b7815b6562221485fa6177daa5f37e06f50f04acb2341f6068cdb13e7b3fb014","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7815b6562221485fa6177daa5f37e06f50f04acb2341f6068cdb13e7b3fb014","first_computed_at":"2026-07-05T01:02:42.626023Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:02:42.626023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XIDh3QEL2OtykD+G/MNMbCrSBmnrbUiP197pgwjPn5h8fXneM7rFNMJBU0x2sw6Kudn9VmOXo4euYPD8NbI/CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:02:42.626417Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.01031","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e86fbcdf06e7cdb0ab29354ea0f5addb14c7a1bd30366d937d1c2fda181ab955","sha256:dc793ad20eaceab53c63efcc0c0a40c584902bd9603af0ce3a32cce7add771d6"],"state_sha256":"6703809fc8f93ee78ae107db0da76caa6c5c3bf46fa7567c6d8033f935ddad02"}