{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:57SKHRVFC2K6MRBWYT7SDSDKJ5","short_pith_number":"pith:57SKHRVF","canonical_record":{"source":{"id":"2404.05828","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T19:46:20Z","cross_cats_sorted":["cs.CR","eess.IV"],"title_canon_sha256":"9d69d2c0b2845a566ceb2ba82ee4c4d80ba93fc0373e8c5052a2b76f86827c66","abstract_canon_sha256":"49eb67619fffc860a57d7513f69c2efe19095fd801b05c35ee4e0dbe3750f4fa"},"schema_version":"1.0"},"canonical_sha256":"efe4a3c6a51695e64436c4ff21c86a4f59e5f57faccc8e8f6c389ae0377e5927","source":{"kind":"arxiv","id":"2404.05828","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05828","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05828v1","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05828","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"57SKHRVFC2K6","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_16","alias_value":"57SKHRVFC2K6MRBW","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_8","alias_value":"57SKHRVF","created_at":"2026-07-05T08:06:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:57SKHRVFC2K6MRBWYT7SDSDKJ5","target":"record","payload":{"canonical_record":{"source":{"id":"2404.05828","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T19:46:20Z","cross_cats_sorted":["cs.CR","eess.IV"],"title_canon_sha256":"9d69d2c0b2845a566ceb2ba82ee4c4d80ba93fc0373e8c5052a2b76f86827c66","abstract_canon_sha256":"49eb67619fffc860a57d7513f69c2efe19095fd801b05c35ee4e0dbe3750f4fa"},"schema_version":"1.0"},"canonical_sha256":"efe4a3c6a51695e64436c4ff21c86a4f59e5f57faccc8e8f6c389ae0377e5927","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:00.113260Z","signature_b64":"9sfQJ0Ch2wjY4UXjiFF/50VNb7i4FNb7aPTeghIFnOuDjgzX8+3mZq/qs3qfvBunuVqDUONojWLJkH4g9/1CCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efe4a3c6a51695e64436c4ff21c86a4f59e5f57faccc8e8f6c389ae0377e5927","last_reissued_at":"2026-07-05T08:06:00.112717Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:00.112717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.05828","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":"2026-07-05T08:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RKv/34o5+nHQruGGlbZWq4MEFK9KsgZuwK6tqFpmpVaLMH7YapOUYewKb/2QYt9PJFS18sLR8E23JyA1uTpUDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:31:12.801493Z"},"content_sha256":"3b2e64a97a9d40ac8ba1a0cac2f1cf9fb91ae7b9e25b5d27c9b5fef484fe78ec","schema_version":"1.0","event_id":"sha256:3b2e64a97a9d40ac8ba1a0cac2f1cf9fb91ae7b9e25b5d27c9b5fef484fe78ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:57SKHRVFC2K6MRBWYT7SDSDKJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","eess.IV"],"primary_cat":"cs.CV","authors_text":"Fabian Perez, Henry Arguello, Jhon Lopez","submitted_at":"2024-04-08T19:46:20Z","abstract_excerpt":"In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, preserving privacy in deep learning systems has become a critical concern. Existing methods for privacy preservation rely on image encryption or perceptual transformation approaches. However, they often suffer from reduced task performance and high computational costs. To address these challenges, we propose a novel Privacy-Preserving framework that uses a set of deformable operators for secure task learning. Our meth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05828","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/2404.05828/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":"2026-07-05T08:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fbq6lL0z3cu2bCiIQkszblyejAZJ8dSKAgf7OTik1WQjuZFOd8l8HbUNVNPe7CBbiDTLaTT4spA+zGkJnIweCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:31:12.802403Z"},"content_sha256":"fa17d4b4f28ca1fc582b4e189b114d44703abe3f636fea8f19af874a6e473314","schema_version":"1.0","event_id":"sha256:fa17d4b4f28ca1fc582b4e189b114d44703abe3f636fea8f19af874a6e473314"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/bundle.json","state_url":"https://pith.science/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/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":"2026-08-06T20:31:12Z","links":{"resolver":"https://pith.science/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5","bundle":"https://pith.science/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/bundle.json","state":"https://pith.science/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/57SKHRVFC2K6MRBWYT7SDSDKJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:57SKHRVFC2K6MRBWYT7SDSDKJ5","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":"49eb67619fffc860a57d7513f69c2efe19095fd801b05c35ee4e0dbe3750f4fa","cross_cats_sorted":["cs.CR","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T19:46:20Z","title_canon_sha256":"9d69d2c0b2845a566ceb2ba82ee4c4d80ba93fc0373e8c5052a2b76f86827c66"},"schema_version":"1.0","source":{"id":"2404.05828","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05828","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05828v1","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05828","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"57SKHRVFC2K6","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_16","alias_value":"57SKHRVFC2K6MRBW","created_at":"2026-07-05T08:06:00Z"},{"alias_kind":"pith_short_8","alias_value":"57SKHRVF","created_at":"2026-07-05T08:06:00Z"}],"graph_snapshots":[{"event_id":"sha256:fa17d4b4f28ca1fc582b4e189b114d44703abe3f636fea8f19af874a6e473314","target":"graph","created_at":"2026-07-05T08:06:00Z","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/2404.05828/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, preserving privacy in deep learning systems has become a critical concern. Existing methods for privacy preservation rely on image encryption or perceptual transformation approaches. However, they often suffer from reduced task performance and high computational costs. To address these challenges, we propose a novel Privacy-Preserving framework that uses a set of deformable operators for secure task learning. Our meth","authors_text":"Fabian Perez, Henry Arguello, Jhon Lopez","cross_cats":["cs.CR","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T19:46:20Z","title":"Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05828","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":"sha256:3b2e64a97a9d40ac8ba1a0cac2f1cf9fb91ae7b9e25b5d27c9b5fef484fe78ec","target":"record","created_at":"2026-07-05T08:06:00Z","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":"49eb67619fffc860a57d7513f69c2efe19095fd801b05c35ee4e0dbe3750f4fa","cross_cats_sorted":["cs.CR","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T19:46:20Z","title_canon_sha256":"9d69d2c0b2845a566ceb2ba82ee4c4d80ba93fc0373e8c5052a2b76f86827c66"},"schema_version":"1.0","source":{"id":"2404.05828","kind":"arxiv","version":1}},"canonical_sha256":"efe4a3c6a51695e64436c4ff21c86a4f59e5f57faccc8e8f6c389ae0377e5927","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efe4a3c6a51695e64436c4ff21c86a4f59e5f57faccc8e8f6c389ae0377e5927","first_computed_at":"2026-07-05T08:06:00.112717Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:00.112717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9sfQJ0Ch2wjY4UXjiFF/50VNb7i4FNb7aPTeghIFnOuDjgzX8+3mZq/qs3qfvBunuVqDUONojWLJkH4g9/1CCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:00.113260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.05828","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b2e64a97a9d40ac8ba1a0cac2f1cf9fb91ae7b9e25b5d27c9b5fef484fe78ec","sha256:fa17d4b4f28ca1fc582b4e189b114d44703abe3f636fea8f19af874a6e473314"],"state_sha256":"567a3c917b19492809cf771ee4a9b68fc4889ed7fbaa578bc3fb47092cbf4797"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qjXTWDTIAnRFgwgdu0fsM5MVhPyanl1+b1kNL6Yj2O5jeapcSX2VXYj3JK84awU3r1ZpOdbsDUORpcNwHOlVBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:31:12.807675Z","bundle_sha256":"e4e82e1dfbde09a822985b31ef748edeb874a9a35deac10b717ad25f13f6a60e"}}