{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ST7W53SKZOVQCGHGSD66WFTLQJ","short_pith_number":"pith:ST7W53SK","canonical_record":{"source":{"id":"2011.14218","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-28T21:18:46Z","cross_cats_sorted":[],"title_canon_sha256":"abde1e31fb9da2b963cd138b939e5b91dc4dcfdab55e78f8e7c1b0b5eede0480","abstract_canon_sha256":"413f1a90f4641fc5e6a4401c250ae43a31e8fc3d71a35404aedfc132a57a203d"},"schema_version":"1.0"},"canonical_sha256":"94ff6eee4acbab0118e690fdeb166b8278060fb6a81f5256dea84b9811549ab7","source":{"kind":"arxiv","id":"2011.14218","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.14218","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"arxiv_version","alias_value":"2011.14218v2","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.14218","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_12","alias_value":"ST7W53SKZOVQ","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_16","alias_value":"ST7W53SKZOVQCGHG","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_8","alias_value":"ST7W53SK","created_at":"2026-07-05T02:29:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ST7W53SKZOVQCGHGSD66WFTLQJ","target":"record","payload":{"canonical_record":{"source":{"id":"2011.14218","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-28T21:18:46Z","cross_cats_sorted":[],"title_canon_sha256":"abde1e31fb9da2b963cd138b939e5b91dc4dcfdab55e78f8e7c1b0b5eede0480","abstract_canon_sha256":"413f1a90f4641fc5e6a4401c250ae43a31e8fc3d71a35404aedfc132a57a203d"},"schema_version":"1.0"},"canonical_sha256":"94ff6eee4acbab0118e690fdeb166b8278060fb6a81f5256dea84b9811549ab7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:29:11.023535Z","signature_b64":"ghAFA3zYyMKTj+Ba3OIlnbRnNM+MExXyZvBGQ2RNGT/dZAzyAp64DnR7/t5eKs52eRgtBL8wCgeAL4d4WgPlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94ff6eee4acbab0118e690fdeb166b8278060fb6a81f5256dea84b9811549ab7","last_reissued_at":"2026-07-05T02:29:11.022981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:29:11.022981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.14218","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:29:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D6CEOXs0E8Tpa9w7FFvBM7+GBlqP5lkxkNgeA5IKAB0jzc+9IiMXasH2FLuJqvEH01nHM63IxOjQmeelzKOgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:13:25.875503Z"},"content_sha256":"5079718fada62ca1686a9e36866860dd5c9f074fc3617d6ace1db2ba1d63e52f","schema_version":"1.0","event_id":"sha256:5079718fada62ca1686a9e36866860dd5c9f074fc3617d6ace1db2ba1d63e52f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ST7W53SKZOVQCGHGSD66WFTLQJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FaceGuard: A Self-Supervised Defense Against Adversarial Face Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anil K. Jain, Debayan Deb, Xiaoming Liu","submitted_at":"2020-11-28T21:18:46Z","abstract_excerpt":"Prevailing defense mechanisms against adversarial face images tend to overfit to the adversarial perturbations in the training set and fail to generalize to unseen adversarial attacks. We propose a new self-supervised adversarial defense framework, namely FaceGuard, that can automatically detect, localize, and purify a wide variety of adversarial faces without utilizing pre-computed adversarial training samples. During training, FaceGuard automatically synthesizes challenging and diverse adversarial attacks, enabling a classifier to learn to distinguish them from real faces and a purifier atte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.14218","kind":"arxiv","version":2},"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/2011.14218/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":"2026-07-05T02:29:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q4Y07Blm8ZyiDcB2WaQz9BQjQlEZIpf1SWJucxLU8sNxpfN/50s/msygo3JAS1C38I2jEdS/UstY4Fzf6kDCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:13:25.876231Z"},"content_sha256":"2b877acf99f647eafcc40fcb8bbae9b17dc214b637735bd4c53ff47b22fa8dd7","schema_version":"1.0","event_id":"sha256:2b877acf99f647eafcc40fcb8bbae9b17dc214b637735bd4c53ff47b22fa8dd7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/bundle.json","state_url":"https://pith.science/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/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":"2026-08-06T17:13:25Z","links":{"resolver":"https://pith.science/pith/ST7W53SKZOVQCGHGSD66WFTLQJ","bundle":"https://pith.science/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/bundle.json","state":"https://pith.science/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ST7W53SKZOVQCGHGSD66WFTLQJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ST7W53SKZOVQCGHGSD66WFTLQJ","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":"413f1a90f4641fc5e6a4401c250ae43a31e8fc3d71a35404aedfc132a57a203d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-28T21:18:46Z","title_canon_sha256":"abde1e31fb9da2b963cd138b939e5b91dc4dcfdab55e78f8e7c1b0b5eede0480"},"schema_version":"1.0","source":{"id":"2011.14218","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.14218","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"arxiv_version","alias_value":"2011.14218v2","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.14218","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_12","alias_value":"ST7W53SKZOVQ","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_16","alias_value":"ST7W53SKZOVQCGHG","created_at":"2026-07-05T02:29:11Z"},{"alias_kind":"pith_short_8","alias_value":"ST7W53SK","created_at":"2026-07-05T02:29:11Z"}],"graph_snapshots":[{"event_id":"sha256:2b877acf99f647eafcc40fcb8bbae9b17dc214b637735bd4c53ff47b22fa8dd7","target":"graph","created_at":"2026-07-05T02:29:11Z","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/2011.14218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prevailing defense mechanisms against adversarial face images tend to overfit to the adversarial perturbations in the training set and fail to generalize to unseen adversarial attacks. We propose a new self-supervised adversarial defense framework, namely FaceGuard, that can automatically detect, localize, and purify a wide variety of adversarial faces without utilizing pre-computed adversarial training samples. During training, FaceGuard automatically synthesizes challenging and diverse adversarial attacks, enabling a classifier to learn to distinguish them from real faces and a purifier atte","authors_text":"Anil K. Jain, Debayan Deb, Xiaoming Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-28T21:18:46Z","title":"FaceGuard: A Self-Supervised Defense Against Adversarial Face Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.14218","kind":"arxiv","version":2},"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":"sha256:5079718fada62ca1686a9e36866860dd5c9f074fc3617d6ace1db2ba1d63e52f","target":"record","created_at":"2026-07-05T02:29:11Z","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":"413f1a90f4641fc5e6a4401c250ae43a31e8fc3d71a35404aedfc132a57a203d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-28T21:18:46Z","title_canon_sha256":"abde1e31fb9da2b963cd138b939e5b91dc4dcfdab55e78f8e7c1b0b5eede0480"},"schema_version":"1.0","source":{"id":"2011.14218","kind":"arxiv","version":2}},"canonical_sha256":"94ff6eee4acbab0118e690fdeb166b8278060fb6a81f5256dea84b9811549ab7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94ff6eee4acbab0118e690fdeb166b8278060fb6a81f5256dea84b9811549ab7","first_computed_at":"2026-07-05T02:29:11.022981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:29:11.022981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ghAFA3zYyMKTj+Ba3OIlnbRnNM+MExXyZvBGQ2RNGT/dZAzyAp64DnR7/t5eKs52eRgtBL8wCgeAL4d4WgPlCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:29:11.023535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.14218","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5079718fada62ca1686a9e36866860dd5c9f074fc3617d6ace1db2ba1d63e52f","sha256:2b877acf99f647eafcc40fcb8bbae9b17dc214b637735bd4c53ff47b22fa8dd7"],"state_sha256":"29bc3d74ec5bf5c1a33a94bdf8268350920e0120df581f7f02c6afdc6779ea90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uodZZGNP4Yd/9VpZ/5P658/9JMQe02mSFlGYHMQvFelEy4lnMTwPpFHfMN6eiL2Vsab1lNlT8f0qc+weBo5iDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:13:25.881983Z","bundle_sha256":"82d1ae90d187d6a975acdaa3b27b8c7f079a8fe6ad8544e5e7640f37637d7c6b"}}