{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BH2F3ADID3CPCDHFI3DQBA3DQQ","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":"f944763b81bb43fd0cc6c9148e0dae4e33bbbc64025f468329348f3408e22588","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T21:37:24Z","title_canon_sha256":"ea825d46e71351338acfdfe3848b5a8aa53b7aba3fa59504ed81b4e7d7591eb3"},"schema_version":"1.0","source":{"id":"2310.10844","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10844","created_at":"2026-07-05T07:01:28Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10844v1","created_at":"2026-07-05T07:01:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10844","created_at":"2026-07-05T07:01:28Z"},{"alias_kind":"pith_short_12","alias_value":"BH2F3ADID3CP","created_at":"2026-07-05T07:01:28Z"},{"alias_kind":"pith_short_16","alias_value":"BH2F3ADID3CPCDHF","created_at":"2026-07-05T07:01:28Z"},{"alias_kind":"pith_short_8","alias_value":"BH2F3ADI","created_at":"2026-07-05T07:01:28Z"}],"graph_snapshots":[{"event_id":"sha256:2b4a81784b61af890d62252e7105c956f63774fa78ee1a51b3e1e356519ebf36","target":"graph","created_at":"2026-07-05T07:01:28Z","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/2310.10844/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as they integrate more deeply into complex systems, the urgency to scrutinize their security properties grows. This paper surveys research in the emerging interdisciplinary field of adversarial attacks on LLMs, a subfield of trustworthy ML, combining the perspectives of Natural Language Processing and Security. Prior work has shown that even safety-aligned LLMs (via instruction tuning and reinforcement learning through human feedback) can be susceptible to adversarial attacks, which exploit weaknesses and mi","authors_text":"Erfan Shayegani, Md Abdullah Al Mamun, Nael Abu-Ghazaleh, Pedram Zaree, Yue Dong, Yu Fu","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T21:37:24Z","title":"Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10844","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":"sha256:9910e06103ccebdeada4f2663f5eb503479b637e99fb0f1bb187dd5bd2c446d0","target":"record","created_at":"2026-07-05T07:01:28Z","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":"f944763b81bb43fd0cc6c9148e0dae4e33bbbc64025f468329348f3408e22588","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T21:37:24Z","title_canon_sha256":"ea825d46e71351338acfdfe3848b5a8aa53b7aba3fa59504ed81b4e7d7591eb3"},"schema_version":"1.0","source":{"id":"2310.10844","kind":"arxiv","version":1}},"canonical_sha256":"09f45d80681ec4f10ce546c7008363841a7f5caf9eaa5b544fe4216fcecadbef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09f45d80681ec4f10ce546c7008363841a7f5caf9eaa5b544fe4216fcecadbef","first_computed_at":"2026-07-05T07:01:28.600371Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:28.600371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g7917keeQNe1da+rWHgSYCgL1AWt337IYuSJiWW5V1F95kCn0p1fNpHPAbTNafyMzC5g50Xocw8oi9s5dCr6Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:28.600851Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10844","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9910e06103ccebdeada4f2663f5eb503479b637e99fb0f1bb187dd5bd2c446d0","sha256:2b4a81784b61af890d62252e7105c956f63774fa78ee1a51b3e1e356519ebf36"],"state_sha256":"6c453bbf5995a1ff93599cb2bd8dc2129d6fef02eb14bfcc1c81ea0269910696"}