{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DSK3MLNZA23F2KN5YIYVHLA5DB","short_pith_number":"pith:DSK3MLNZ","schema_version":"1.0","canonical_sha256":"1c95b62db906b65d29bdc23153ac1d187bf88b73c22270abbb6255deec290c87","source":{"kind":"arxiv","id":"2606.03714","version":1},"attestation_state":"computed","paper":{"title":"Don't Trust Us: A privacy-by-design android malware detection pipeline","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Diego Soi, Emmanuele Massidda, Giorgio Giacinto","submitted_at":"2026-06-02T14:36:31Z","abstract_excerpt":"Android malware detection increasingly relies on collecting and processing sensitive user data, including device identifiers, network artifacts, and runtime traces, while privacy is too often treated as a secondary concern. Existing privacy-aware approaches typically enforce privacy after data collection, for example, through anonymization, encryption, or federated learning, yet still require access to user information and therefore demand a high level of user trust in systems that already operate with privileged access to device activity. We argue that this requirement should be removed rathe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.03714","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-02T14:36:31Z","cross_cats_sorted":[],"title_canon_sha256":"51f97ac765c655bfa04f455e9a977f5a79091fdb72d16bb477c5082e95715b06","abstract_canon_sha256":"883fda37aa95d0f1a3dc779ee80baaef2abfc82e2bc11ab46329f481d0a26d7c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:06:05.274214Z","signature_b64":"2pd46/cmSYtSevvhbENkaIz37+OlL657x6EThC8ZqnF5sZVr4BAryY7eYLXvRwxQaBsEKqJJWldFvUP2a8XZAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c95b62db906b65d29bdc23153ac1d187bf88b73c22270abbb6255deec290c87","last_reissued_at":"2026-06-03T01:06:05.273798Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:06:05.273798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Don't Trust Us: A privacy-by-design android malware detection pipeline","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Diego Soi, Emmanuele Massidda, Giorgio Giacinto","submitted_at":"2026-06-02T14:36:31Z","abstract_excerpt":"Android malware detection increasingly relies on collecting and processing sensitive user data, including device identifiers, network artifacts, and runtime traces, while privacy is too often treated as a secondary concern. Existing privacy-aware approaches typically enforce privacy after data collection, for example, through anonymization, encryption, or federated learning, yet still require access to user information and therefore demand a high level of user trust in systems that already operate with privileged access to device activity. We argue that this requirement should be removed rathe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03714","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/2606.03714/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.03714","created_at":"2026-06-03T01:06:05.273850+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.03714v1","created_at":"2026-06-03T01:06:05.273850+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03714","created_at":"2026-06-03T01:06:05.273850+00:00"},{"alias_kind":"pith_short_12","alias_value":"DSK3MLNZA23F","created_at":"2026-06-03T01:06:05.273850+00:00"},{"alias_kind":"pith_short_16","alias_value":"DSK3MLNZA23F2KN5","created_at":"2026-06-03T01:06:05.273850+00:00"},{"alias_kind":"pith_short_8","alias_value":"DSK3MLNZ","created_at":"2026-06-03T01:06:05.273850+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB","json":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB.json","graph_json":"https://pith.science/api/pith-number/DSK3MLNZA23F2KN5YIYVHLA5DB/graph.json","events_json":"https://pith.science/api/pith-number/DSK3MLNZA23F2KN5YIYVHLA5DB/events.json","paper":"https://pith.science/paper/DSK3MLNZ"},"agent_actions":{"view_html":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB","download_json":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB.json","view_paper":"https://pith.science/paper/DSK3MLNZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.03714&json=true","fetch_graph":"https://pith.science/api/pith-number/DSK3MLNZA23F2KN5YIYVHLA5DB/graph.json","fetch_events":"https://pith.science/api/pith-number/DSK3MLNZA23F2KN5YIYVHLA5DB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB/action/storage_attestation","attest_author":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB/action/author_attestation","sign_citation":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB/action/citation_signature","submit_replication":"https://pith.science/pith/DSK3MLNZA23F2KN5YIYVHLA5DB/action/replication_record"}},"created_at":"2026-06-03T01:06:05.273850+00:00","updated_at":"2026-06-03T01:06:05.273850+00:00"}