{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CWJOOAQHKCISEDV724BK4TXASP","short_pith_number":"pith:CWJOOAQH","canonical_record":{"source":{"id":"1910.08536","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-17T21:38:11Z","cross_cats_sorted":[],"title_canon_sha256":"00a9d888d415656fac6c67376601922ed4947eeb5f4a98df7ddaa0fcd63970b3","abstract_canon_sha256":"7aed09cd68d9a75ab91602a94670b2e429357093d00258b7e7278065db68aede"},"schema_version":"1.0"},"canonical_sha256":"1592e702075091220ebfd702ae4ee093f4dbb9376e9a728ee0d7017e1e290220","source":{"kind":"arxiv","id":"1910.08536","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.08536","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"arxiv_version","alias_value":"1910.08536v1","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.08536","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_12","alias_value":"CWJOOAQHKCIS","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_16","alias_value":"CWJOOAQHKCISEDV7","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_8","alias_value":"CWJOOAQH","created_at":"2026-07-05T00:13:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CWJOOAQHKCISEDV724BK4TXASP","target":"record","payload":{"canonical_record":{"source":{"id":"1910.08536","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-17T21:38:11Z","cross_cats_sorted":[],"title_canon_sha256":"00a9d888d415656fac6c67376601922ed4947eeb5f4a98df7ddaa0fcd63970b3","abstract_canon_sha256":"7aed09cd68d9a75ab91602a94670b2e429357093d00258b7e7278065db68aede"},"schema_version":"1.0"},"canonical_sha256":"1592e702075091220ebfd702ae4ee093f4dbb9376e9a728ee0d7017e1e290220","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:13:17.420086Z","signature_b64":"9EM0kUd1qL2lPVq/z3LM00n6LJboimMOO4jvLpyD0qCaaVcbJdyZVTY663MU/sETACPMkotT84Nzlz0AD6mMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1592e702075091220ebfd702ae4ee093f4dbb9376e9a728ee0d7017e1e290220","last_reissued_at":"2026-07-05T00:13:17.419670Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:13:17.419670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.08536","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:13:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hkt6LOa2oRRVg4/At7sdu2inZdaUxgaWqMKNk65YDPgRJIZBUvhwPZnIO07sFWjfoHeAYBfsQL/3i7znioNKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T13:10:31.821768Z"},"content_sha256":"93b1fd08d1f700ee4f7760db4d343d3d957d8a995eaa795dc201cb00e4b73053","schema_version":"1.0","event_id":"sha256:93b1fd08d1f700ee4f7760db4d343d3d957d8a995eaa795dc201cb00e4b73053"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CWJOOAQHKCISEDV724BK4TXASP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fuxun Yu, Xiang Chen, Zirui Xu","submitted_at":"2019-10-17T21:38:11Z","abstract_excerpt":"Recently, adversarial attacks can be applied to the physical world, causing practical issues to various Convolutional Neural Networks (CNNs) powered applications. Most existing physical adversarial attack defense works only focus on eliminating explicit perturbation patterns from inputs, ignoring interpretation to CNN's intrinsic vulnerability. Therefore, they lack the expected versatility to different attacks and thereby depend on considerable data processing costs. In this paper, we propose LanCe -- a comprehensive and lightweight CNN defense methodology against different physical adversaria"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.08536","kind":"arxiv","version":1},"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/1910.08536/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":"2026-07-05T00:13:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v45hZqAgSF7/ZRUBdirRcXrB/0Ltp67CcoCIkkU1Z3wZGG+qDJn2fN3frYRf6jI44CjGQK0Sm3OVuTps43mUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T13:10:31.822438Z"},"content_sha256":"9046ea0f2e84f9c87207de20150904c1534654d9acd45d277fa082f48f34377f","schema_version":"1.0","event_id":"sha256:9046ea0f2e84f9c87207de20150904c1534654d9acd45d277fa082f48f34377f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CWJOOAQHKCISEDV724BK4TXASP/bundle.json","state_url":"https://pith.science/pith/CWJOOAQHKCISEDV724BK4TXASP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CWJOOAQHKCISEDV724BK4TXASP/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":"2026-07-12T13:10:31Z","links":{"resolver":"https://pith.science/pith/CWJOOAQHKCISEDV724BK4TXASP","bundle":"https://pith.science/pith/CWJOOAQHKCISEDV724BK4TXASP/bundle.json","state":"https://pith.science/pith/CWJOOAQHKCISEDV724BK4TXASP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CWJOOAQHKCISEDV724BK4TXASP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CWJOOAQHKCISEDV724BK4TXASP","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":"7aed09cd68d9a75ab91602a94670b2e429357093d00258b7e7278065db68aede","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-17T21:38:11Z","title_canon_sha256":"00a9d888d415656fac6c67376601922ed4947eeb5f4a98df7ddaa0fcd63970b3"},"schema_version":"1.0","source":{"id":"1910.08536","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.08536","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"arxiv_version","alias_value":"1910.08536v1","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.08536","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_12","alias_value":"CWJOOAQHKCIS","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_16","alias_value":"CWJOOAQHKCISEDV7","created_at":"2026-07-05T00:13:17Z"},{"alias_kind":"pith_short_8","alias_value":"CWJOOAQH","created_at":"2026-07-05T00:13:17Z"}],"graph_snapshots":[{"event_id":"sha256:9046ea0f2e84f9c87207de20150904c1534654d9acd45d277fa082f48f34377f","target":"graph","created_at":"2026-07-05T00:13:17Z","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/1910.08536/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, adversarial attacks can be applied to the physical world, causing practical issues to various Convolutional Neural Networks (CNNs) powered applications. Most existing physical adversarial attack defense works only focus on eliminating explicit perturbation patterns from inputs, ignoring interpretation to CNN's intrinsic vulnerability. Therefore, they lack the expected versatility to different attacks and thereby depend on considerable data processing costs. In this paper, we propose LanCe -- a comprehensive and lightweight CNN defense methodology against different physical adversaria","authors_text":"Fuxun Yu, Xiang Chen, Zirui Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-17T21:38:11Z","title":"LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.08536","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":"sha256:93b1fd08d1f700ee4f7760db4d343d3d957d8a995eaa795dc201cb00e4b73053","target":"record","created_at":"2026-07-05T00:13:17Z","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":"7aed09cd68d9a75ab91602a94670b2e429357093d00258b7e7278065db68aede","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-17T21:38:11Z","title_canon_sha256":"00a9d888d415656fac6c67376601922ed4947eeb5f4a98df7ddaa0fcd63970b3"},"schema_version":"1.0","source":{"id":"1910.08536","kind":"arxiv","version":1}},"canonical_sha256":"1592e702075091220ebfd702ae4ee093f4dbb9376e9a728ee0d7017e1e290220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1592e702075091220ebfd702ae4ee093f4dbb9376e9a728ee0d7017e1e290220","first_computed_at":"2026-07-05T00:13:17.419670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:13:17.419670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9EM0kUd1qL2lPVq/z3LM00n6LJboimMOO4jvLpyD0qCaaVcbJdyZVTY663MU/sETACPMkotT84Nzlz0AD6mMDg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:13:17.420086Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.08536","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93b1fd08d1f700ee4f7760db4d343d3d957d8a995eaa795dc201cb00e4b73053","sha256:9046ea0f2e84f9c87207de20150904c1534654d9acd45d277fa082f48f34377f"],"state_sha256":"2e0f41585fd72a08f82eb5edbc1a171f31b6af201434948c2eb1bda6166c1de9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IkPfzh3Ld08TeYi9k/u8Tgvu+0l553iGJ7Mry2BaY0r8z1Ec64YtJ7/dTp7eueQ1WA/UJh9mchEy/fI8IQKWDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T13:10:31.826638Z","bundle_sha256":"a5f716e531758d4cf475d047339d5f0d9f49fcf1bc8999c11cc9de0f8441dc72"}}