{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PG6RYL23ZSGLX7ANW2DMJBK4ME","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":"fa41c4c8ea8eeb7785bc20a4cfa80afef41b9d0ff2fe17aab7c11d346a4cf470","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-15T04:52:11Z","title_canon_sha256":"d47cafd822a797dcc816fd1e427a90ab6d01b5c965f702181d82323e6127e0f4"},"schema_version":"1.0","source":{"id":"2411.09945","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09945","created_at":"2026-07-05T09:35:56Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09945v1","created_at":"2026-07-05T09:35:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09945","created_at":"2026-07-05T09:35:56Z"},{"alias_kind":"pith_short_12","alias_value":"PG6RYL23ZSGL","created_at":"2026-07-05T09:35:56Z"},{"alias_kind":"pith_short_16","alias_value":"PG6RYL23ZSGLX7AN","created_at":"2026-07-05T09:35:56Z"},{"alias_kind":"pith_short_8","alias_value":"PG6RYL23","created_at":"2026-07-05T09:35:56Z"}],"graph_snapshots":[{"event_id":"sha256:1ff05a0b0a366e53edf1bdae69ef1111540e1fed75804cb8f803a30755f2abd1","target":"graph","created_at":"2026-07-05T09:35:56Z","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/2411.09945/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Trusted Execution Environments (TEE) are used to safeguard on-device models. However, directly employing TEEs to secure the entire DNN model is challenging due to the limited computational speed. Utilizing GPU can accelerate DNN's computation speed but commercial widely-available GPUs usually lack security protection. To this end, scholars introduce TSDP, a method that protects privacy-sensitive weights within TEEs and offloads insensitive weights to GPUs. Nevertheless, current methods do not consider the presence of a knowledgeable adversary who can access abundant publicly available pre-trai","authors_text":"Ding Li, Mengyu Yao, Xiangqun Chen, Yao Guo, Yifeng Cai, Ziqi Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-15T04:52:11Z","title":"TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09945","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":"sha256:4b8a35171d2ae57db72045f22371f197de62bfc889174d5a0fd90193b633326a","target":"record","created_at":"2026-07-05T09:35:56Z","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":"fa41c4c8ea8eeb7785bc20a4cfa80afef41b9d0ff2fe17aab7c11d346a4cf470","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-11-15T04:52:11Z","title_canon_sha256":"d47cafd822a797dcc816fd1e427a90ab6d01b5c965f702181d82323e6127e0f4"},"schema_version":"1.0","source":{"id":"2411.09945","kind":"arxiv","version":1}},"canonical_sha256":"79bd1c2f5bcc8cbbfc0db686c4855c611e290a38845ce0b1bcef94dd9fd9d970","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79bd1c2f5bcc8cbbfc0db686c4855c611e290a38845ce0b1bcef94dd9fd9d970","first_computed_at":"2026-07-05T09:35:56.128235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:56.128235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wUTrrKX+9Vl5vcO1aGT47i9M2G2Ohx8hgspnnlWnVWtkoZ+oMHoKmZefw3ndsFDlJmGWWWiQYUWptT2F02kVCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:56.128746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09945","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b8a35171d2ae57db72045f22371f197de62bfc889174d5a0fd90193b633326a","sha256:1ff05a0b0a366e53edf1bdae69ef1111540e1fed75804cb8f803a30755f2abd1"],"state_sha256":"8acfc651ffa804591c321f9d068aa17ec93632b2857d6c0ec2155fd35af6d7e8"}