{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7F6VC6XMXP5M66QYW6GP2RU2R3","short_pith_number":"pith:7F6VC6XM","canonical_record":{"source":{"id":"2206.06761","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-14T11:20:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d1e2464d90b27c103b8dcff9a8193fa97eb0bd8c1c2e9666abd2adb58a8f8e4a","abstract_canon_sha256":"24c414d138d10d0563cae3b2698c8465a73e5f3bfae11f1f55ddc576c594e211"},"schema_version":"1.0"},"canonical_sha256":"f97d517aecbbfacf7a18b78cfd469a8efe5215826eba96860903986960914cc9","source":{"kind":"arxiv","id":"2206.06761","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.06761","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"2206.06761v4","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.06761","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"7F6VC6XMXP5M","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_16","alias_value":"7F6VC6XMXP5M66QY","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_8","alias_value":"7F6VC6XM","created_at":"2026-07-05T04:55:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7F6VC6XMXP5M66QYW6GP2RU2R3","target":"record","payload":{"canonical_record":{"source":{"id":"2206.06761","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-14T11:20:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d1e2464d90b27c103b8dcff9a8193fa97eb0bd8c1c2e9666abd2adb58a8f8e4a","abstract_canon_sha256":"24c414d138d10d0563cae3b2698c8465a73e5f3bfae11f1f55ddc576c594e211"},"schema_version":"1.0"},"canonical_sha256":"f97d517aecbbfacf7a18b78cfd469a8efe5215826eba96860903986960914cc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:55:39.303535Z","signature_b64":"HfMX7mMgwsnEyxVwCtMIJN/3fmXgy978jJPl0n8IQsevXeKT8KwiSQRM3rpNOyQkmqcHztVr4ZolttynEWYyDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f97d517aecbbfacf7a18b78cfd469a8efe5215826eba96860903986960914cc9","last_reissued_at":"2026-07-05T04:55:39.303148Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:55:39.303148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.06761","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":"2026-07-05T04:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FvnDhV8nyLF0SOtDUt4/15TnZbBG5up1uflos6Qcnp/j35f78il6Be7m2+06Pi31kyRhaHsVTV7FLlzkqKUEAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:29:47.131924Z"},"content_sha256":"de26a28ea95b9094b44d497e3d3d5bb9b9a1865285f782a419d3a47558bb9a91","schema_version":"1.0","event_id":"sha256:de26a28ea95b9094b44d497e3d3d5bb9b9a1865285f782a419d3a47558bb9a91"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7F6VC6XMXP5M66QYW6GP2RU2R3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Javier Rando, Max Mathys, Nasib Naimi, Thomas Baumann","submitted_at":"2022-06-14T11:20:16Z","abstract_excerpt":"This work conducts the first analysis on the robustness against adversarial attacks on self-supervised Vision Transformers trained using DINO. First, we evaluate whether features learned through self-supervision are more robust to adversarial attacks than those emerging from supervised learning. Then, we present properties arising for attacks in the latent space. Finally, we evaluate whether three well-known defense strategies can increase adversarial robustness in downstream tasks by only fine-tuning the classification head to provide robustness even in view of limited compute resources. Thes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.06761","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/2206.06761/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":"2026-07-05T04:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+hXSUHfaU5DXPbbVAubJdWZ/lheYfdo/NJ38mr1zNxH8p+f2EiwpGHiSqzpNNGUls3Dcpw7SjtCGOpJgALaHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:29:47.132586Z"},"content_sha256":"4fc47efcc39e5c31ef2f233f5bf2632d5f6df4c2eda2861ee54762af99144518","schema_version":"1.0","event_id":"sha256:4fc47efcc39e5c31ef2f233f5bf2632d5f6df4c2eda2861ee54762af99144518"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/bundle.json","state_url":"https://pith.science/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/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":"2026-08-09T23:29:47Z","links":{"resolver":"https://pith.science/pith/7F6VC6XMXP5M66QYW6GP2RU2R3","bundle":"https://pith.science/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/bundle.json","state":"https://pith.science/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7F6VC6XMXP5M66QYW6GP2RU2R3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7F6VC6XMXP5M66QYW6GP2RU2R3","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":"24c414d138d10d0563cae3b2698c8465a73e5f3bfae11f1f55ddc576c594e211","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-14T11:20:16Z","title_canon_sha256":"d1e2464d90b27c103b8dcff9a8193fa97eb0bd8c1c2e9666abd2adb58a8f8e4a"},"schema_version":"1.0","source":{"id":"2206.06761","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.06761","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"2206.06761v4","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.06761","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"7F6VC6XMXP5M","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_16","alias_value":"7F6VC6XMXP5M66QY","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_8","alias_value":"7F6VC6XM","created_at":"2026-07-05T04:55:39Z"}],"graph_snapshots":[{"event_id":"sha256:4fc47efcc39e5c31ef2f233f5bf2632d5f6df4c2eda2861ee54762af99144518","target":"graph","created_at":"2026-07-05T04:55:39Z","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/2206.06761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work conducts the first analysis on the robustness against adversarial attacks on self-supervised Vision Transformers trained using DINO. First, we evaluate whether features learned through self-supervision are more robust to adversarial attacks than those emerging from supervised learning. Then, we present properties arising for attacks in the latent space. Finally, we evaluate whether three well-known defense strategies can increase adversarial robustness in downstream tasks by only fine-tuning the classification head to provide robustness even in view of limited compute resources. Thes","authors_text":"Javier Rando, Max Mathys, Nasib Naimi, Thomas Baumann","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-14T11:20:16Z","title":"Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.06761","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:de26a28ea95b9094b44d497e3d3d5bb9b9a1865285f782a419d3a47558bb9a91","target":"record","created_at":"2026-07-05T04:55:39Z","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":"24c414d138d10d0563cae3b2698c8465a73e5f3bfae11f1f55ddc576c594e211","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-14T11:20:16Z","title_canon_sha256":"d1e2464d90b27c103b8dcff9a8193fa97eb0bd8c1c2e9666abd2adb58a8f8e4a"},"schema_version":"1.0","source":{"id":"2206.06761","kind":"arxiv","version":4}},"canonical_sha256":"f97d517aecbbfacf7a18b78cfd469a8efe5215826eba96860903986960914cc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f97d517aecbbfacf7a18b78cfd469a8efe5215826eba96860903986960914cc9","first_computed_at":"2026-07-05T04:55:39.303148Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:39.303148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HfMX7mMgwsnEyxVwCtMIJN/3fmXgy978jJPl0n8IQsevXeKT8KwiSQRM3rpNOyQkmqcHztVr4ZolttynEWYyDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:39.303535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.06761","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de26a28ea95b9094b44d497e3d3d5bb9b9a1865285f782a419d3a47558bb9a91","sha256:4fc47efcc39e5c31ef2f233f5bf2632d5f6df4c2eda2861ee54762af99144518"],"state_sha256":"d298aa7ad3bdcba578c3ced58b05fc62846acb162b9d8d197d5310b47a6266a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3DO71XIf191N5mK7oPWcB1JmsKqZbFCanLLsHSpHf196GwmNGSGnFBK49lg+eaaKdr6vT91PfA38IHOj9lieBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T23:29:47.137765Z","bundle_sha256":"9bc138b2a3e383a4afe29e2337903595f6b7e9e879fb08865c8c07b13b6a40df"}}