{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7CKEE3XSN7RMYEJT3UU6DNN5X4","short_pith_number":"pith:7CKEE3XS","canonical_record":{"source":{"id":"1908.05195","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T16:13:00Z","cross_cats_sorted":[],"title_canon_sha256":"22e6bf584569167eadb4ebac19bcf907466d028b1f1286403b63d263332c47ab","abstract_canon_sha256":"2ebf67b4be3a357e845cb109fc9081785c829b411241e83aa1af2039b895b963"},"schema_version":"1.0"},"canonical_sha256":"f894426ef26fe2cc1133dd29e1b5bdbf03224b90f4f3868e8401a058ffccd790","source":{"kind":"arxiv","id":"1908.05195","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05195","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05195v4","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05195","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_12","alias_value":"7CKEE3XSN7RM","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_16","alias_value":"7CKEE3XSN7RMYEJT","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_8","alias_value":"7CKEE3XS","created_at":"2026-07-05T00:53:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7CKEE3XSN7RMYEJT3UU6DNN5X4","target":"record","payload":{"canonical_record":{"source":{"id":"1908.05195","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T16:13:00Z","cross_cats_sorted":[],"title_canon_sha256":"22e6bf584569167eadb4ebac19bcf907466d028b1f1286403b63d263332c47ab","abstract_canon_sha256":"2ebf67b4be3a357e845cb109fc9081785c829b411241e83aa1af2039b895b963"},"schema_version":"1.0"},"canonical_sha256":"f894426ef26fe2cc1133dd29e1b5bdbf03224b90f4f3868e8401a058ffccd790","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:53:07.210786Z","signature_b64":"aZ1KVSlNZgKjTZv4OKe9kn8m5PRgn0SAK51TDyAjsdwSnb4DhM/fEFnJQjNBI/rWXHEns2qCqc8crZTTFex7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f894426ef26fe2cc1133dd29e1b5bdbf03224b90f4f3868e8401a058ffccd790","last_reissued_at":"2026-07-05T00:53:07.210340Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:53:07.210340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.05195","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:53:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iGGR5rTeqsFKmCmZFx8sdqx0457PHrMoVnZgC0TlLfn0G3ziKPhd5KM1+cwNdqjFBYTGdu2aWa2yAiV/YAYEDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T10:49:20.588397Z"},"content_sha256":"4e1b41c634d57d9a26dbc98d78c712b809af87d70bf6fe3a78f96a89a51d30ef","schema_version":"1.0","event_id":"sha256:4e1b41c634d57d9a26dbc98d78c712b809af87d70bf6fe3a78f96a89a51d30ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7CKEE3XSN7RMYEJT3UU6DNN5X4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byungsoo Oh, Daeyoung Kim, Seungju Cho, Tae Joon Jun","submitted_at":"2019-08-14T16:13:00Z","abstract_excerpt":"Nowadays, Deep learning techniques show dramatic performance on computer vision area, and they even outperform human. But it is also vulnerable to some small perturbation called an adversarial attack. This is a problem combined with the safety of artificial intelligence, which has recently been studied a lot. These attacks have shown that they can fool models of image classification, semantic segmentation, and object detection. We point out this attack can be protected by denoise autoencoder, which is used for denoising the perturbation and restoring the original images. We experiment with var"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05195","kind":"arxiv","version":4},"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/1908.05195/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":"2026-07-05T00:53:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YM8pls7vXkV/xa5wYh9lLf0+omkJpokaZP1DgpYQi2162xh+UAleu3YE+7j4diCmbC6b+nPPT8UH8doxIkOSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T10:49:20.589010Z"},"content_sha256":"fb2e071ad6a9f8861e7dacf3bfdb9dc4ed2792a7ec57c2873b82148a443b5eee","schema_version":"1.0","event_id":"sha256:fb2e071ad6a9f8861e7dacf3bfdb9dc4ed2792a7ec57c2873b82148a443b5eee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/bundle.json","state_url":"https://pith.science/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/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":"2026-08-16T10:49:20Z","links":{"resolver":"https://pith.science/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4","bundle":"https://pith.science/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/bundle.json","state":"https://pith.science/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7CKEE3XSN7RMYEJT3UU6DNN5X4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7CKEE3XSN7RMYEJT3UU6DNN5X4","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":"2ebf67b4be3a357e845cb109fc9081785c829b411241e83aa1af2039b895b963","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T16:13:00Z","title_canon_sha256":"22e6bf584569167eadb4ebac19bcf907466d028b1f1286403b63d263332c47ab"},"schema_version":"1.0","source":{"id":"1908.05195","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05195","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05195v4","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05195","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_12","alias_value":"7CKEE3XSN7RM","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_16","alias_value":"7CKEE3XSN7RMYEJT","created_at":"2026-07-05T00:53:07Z"},{"alias_kind":"pith_short_8","alias_value":"7CKEE3XS","created_at":"2026-07-05T00:53:07Z"}],"graph_snapshots":[{"event_id":"sha256:fb2e071ad6a9f8861e7dacf3bfdb9dc4ed2792a7ec57c2873b82148a443b5eee","target":"graph","created_at":"2026-07-05T00:53:07Z","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/1908.05195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nowadays, Deep learning techniques show dramatic performance on computer vision area, and they even outperform human. But it is also vulnerable to some small perturbation called an adversarial attack. This is a problem combined with the safety of artificial intelligence, which has recently been studied a lot. These attacks have shown that they can fool models of image classification, semantic segmentation, and object detection. We point out this attack can be protected by denoise autoencoder, which is used for denoising the perturbation and restoring the original images. We experiment with var","authors_text":"Byungsoo Oh, Daeyoung Kim, Seungju Cho, Tae Joon Jun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T16:13:00Z","title":"DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05195","kind":"arxiv","version":4},"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":"sha256:4e1b41c634d57d9a26dbc98d78c712b809af87d70bf6fe3a78f96a89a51d30ef","target":"record","created_at":"2026-07-05T00:53:07Z","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":"2ebf67b4be3a357e845cb109fc9081785c829b411241e83aa1af2039b895b963","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T16:13:00Z","title_canon_sha256":"22e6bf584569167eadb4ebac19bcf907466d028b1f1286403b63d263332c47ab"},"schema_version":"1.0","source":{"id":"1908.05195","kind":"arxiv","version":4}},"canonical_sha256":"f894426ef26fe2cc1133dd29e1b5bdbf03224b90f4f3868e8401a058ffccd790","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f894426ef26fe2cc1133dd29e1b5bdbf03224b90f4f3868e8401a058ffccd790","first_computed_at":"2026-07-05T00:53:07.210340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:53:07.210340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aZ1KVSlNZgKjTZv4OKe9kn8m5PRgn0SAK51TDyAjsdwSnb4DhM/fEFnJQjNBI/rWXHEns2qCqc8crZTTFex7Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T00:53:07.210786Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05195","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e1b41c634d57d9a26dbc98d78c712b809af87d70bf6fe3a78f96a89a51d30ef","sha256:fb2e071ad6a9f8861e7dacf3bfdb9dc4ed2792a7ec57c2873b82148a443b5eee"],"state_sha256":"54849eb1827e07c08e935c27df7050f64b3201f8b85029cc521666e1189b32c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vEwnzSYfKnJ7HvvEdiI6KWa6tvLz4ZI0+bNr2WM2KLZPuxQSjBtcp0veEV3ciohDfchLQFy7Rx7PgDb0fPBTDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T10:49:20.593438Z","bundle_sha256":"f92610b63bdfecc6468bcea1f3b27818ae7d8496f0d31de7830693914200634e"}}