{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PCRFM3L76XUNUHII5PYRX6MHSR","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":"75f3a2b8515818c9860ce23f45434b1ca2002cd4ceedb09f63bfe36d799814c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-03-09T17:40:20Z","title_canon_sha256":"de9aa8734a94d6c0dd5b4c174afa38c922a70a44e4f33bedfae95b5300a7ff9e"},"schema_version":"1.0","source":{"id":"1803.03613","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.03613","created_at":"2026-05-18T00:21:38Z"},{"alias_kind":"arxiv_version","alias_value":"1803.03613v1","created_at":"2026-05-18T00:21:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.03613","created_at":"2026-05-18T00:21:38Z"},{"alias_kind":"pith_short_12","alias_value":"PCRFM3L76XUN","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"PCRFM3L76XUNUHII","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"PCRFM3L7","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:c602c6525e5a7f0ac446233be722880780ea85aa13b79a9a7a4f73f87b81d66b","target":"graph","created_at":"2026-05-18T00:21:38Z","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"},"paper":{"abstract_excerpt":"Adversarial classification is the task of performing robust classification in the presence of a strategic attacker. Originating from information hiding and multimedia forensics, adversarial classification recently received a lot of attention in a broader security context. In the domain of machine learning-based image classification, adversarial classification can be interpreted as detecting so-called adversarial examples, which are slightly altered versions of benign images. They are specifically crafted to be misclassified with a very high probability by the classifier under attack. Neural ne","authors_text":"Alexander Schl\\\"ogl, Cecilia Pasquini, Pascal Sch\\\"ottle, Rainer B\\\"ohme","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-03-09T17:40:20Z","title":"Detecting Adversarial Examples - A Lesson from Multimedia Forensics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.03613","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":"sha256:3738b4bd635b4fe1724af3bd658d1591fa0a4fdab7650eb4c618825b6d202fd3","target":"record","created_at":"2026-05-18T00:21:38Z","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":"75f3a2b8515818c9860ce23f45434b1ca2002cd4ceedb09f63bfe36d799814c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-03-09T17:40:20Z","title_canon_sha256":"de9aa8734a94d6c0dd5b4c174afa38c922a70a44e4f33bedfae95b5300a7ff9e"},"schema_version":"1.0","source":{"id":"1803.03613","kind":"arxiv","version":1}},"canonical_sha256":"78a2566d7ff5e8da1d08ebf11bf987947c23e74260ebd4b2de33e9e8945cf02c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78a2566d7ff5e8da1d08ebf11bf987947c23e74260ebd4b2de33e9e8945cf02c","first_computed_at":"2026-05-18T00:21:38.945600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:38.945600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/vLiunv/yiddIpUcsg1QaozrgPvwSBLf6fmbl+ODMM0dzB+CBHr3fgQ+7Fe4UeSb5rirf32mMxfkmySaBzoXBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:38.946333Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.03613","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3738b4bd635b4fe1724af3bd658d1591fa0a4fdab7650eb4c618825b6d202fd3","sha256:c602c6525e5a7f0ac446233be722880780ea85aa13b79a9a7a4f73f87b81d66b"],"state_sha256":"248dc37f0c9fb017cc9d3dffc369e1c5665b6b94dc71be1db7e6d0ee61b39872"}