{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:2CWZR4UI6NGP7IWDS6GIJUOTSC","short_pith_number":"pith:2CWZR4UI","canonical_record":{"source":{"id":"2011.08315","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-16T22:32:30Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"f249ffeb1f9eb51c5f4345c1b7a3078c729f51508aa64b5075f9d7044667414f","abstract_canon_sha256":"c848084f7421dd7ad7b25f82ad2d8b0e90047df74c66b7acfdaae1add5176da2"},"schema_version":"1.0"},"canonical_sha256":"d0ad98f288f34cffa2c3978c84d1d390b23d9cbc99a2985e42ccccf9a5463252","source":{"kind":"arxiv","id":"2011.08315","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08315","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08315v3","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08315","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_12","alias_value":"2CWZR4UI6NGP","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"2CWZR4UI6NGP7IWD","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"2CWZR4UI","created_at":"2026-07-05T04:28:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:2CWZR4UI6NGP7IWDS6GIJUOTSC","target":"record","payload":{"canonical_record":{"source":{"id":"2011.08315","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-16T22:32:30Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"f249ffeb1f9eb51c5f4345c1b7a3078c729f51508aa64b5075f9d7044667414f","abstract_canon_sha256":"c848084f7421dd7ad7b25f82ad2d8b0e90047df74c66b7acfdaae1add5176da2"},"schema_version":"1.0"},"canonical_sha256":"d0ad98f288f34cffa2c3978c84d1d390b23d9cbc99a2985e42ccccf9a5463252","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:28:06.084255Z","signature_b64":"0F1SkOoZiu3EEIDyO2D1Z8z1I59+5xf4NceMvgGg89hc75jAwc0oN9LKJcvYIbo9EbnwsYee/C71IaSlFSG6BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0ad98f288f34cffa2c3978c84d1d390b23d9cbc99a2985e42ccccf9a5463252","last_reissued_at":"2026-07-05T04:28:06.083642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:28:06.083642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.08315","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:28:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zZQ7dbcAlfqSKHoO59ncIF5Cz5vJ5Zz6CVbBM9TZUccmEahyV0G1v0F7CrrqqpwO9UaI7HSX8dQ9knhgiWSEAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:53:04.968160Z"},"content_sha256":"ff49de57bbe09b885e4234c68572337841b14753047048857fe7e5d053cf1453","schema_version":"1.0","event_id":"sha256:ff49de57bbe09b885e4234c68572337841b14753047048857fe7e5d053cf1453"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:2CWZR4UI6NGP7IWDS6GIJUOTSC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Hamzeh Khazaei, Omid Ardakanian, Omid Hajihassani","submitted_at":"2020-11-16T22:32:30Z","abstract_excerpt":"The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led to mounting privacy concerns. This is because private and sensitive information can be potentially learned from sensor data by applications that have access to this data. In this paper, we aim to examine the tradeoff between utility and privacy loss by learning low-dimensional representations that are useful for data obfuscation. We propose deterministic and probabilistic transformations in the latent space of a varia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08315","kind":"arxiv","version":3},"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/2011.08315/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":"2026-07-05T04:28:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fSMX3JeXG0Rg1gy67p4zHh2CTbCuLeio6y/r2y5qgMMFSRXHA1lo2/S4FpGQ+YNc4qHCPN7WTIEymw/BdbhhAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:53:04.968797Z"},"content_sha256":"fefd7bd1f7862d7ba73cf7b85198f44072edad3c912fb91f89896c43de0fca16","schema_version":"1.0","event_id":"sha256:fefd7bd1f7862d7ba73cf7b85198f44072edad3c912fb91f89896c43de0fca16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/bundle.json","state_url":"https://pith.science/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/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":"2026-08-05T19:53:04Z","links":{"resolver":"https://pith.science/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC","bundle":"https://pith.science/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/bundle.json","state":"https://pith.science/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2CWZR4UI6NGP7IWDS6GIJUOTSC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2CWZR4UI6NGP7IWDS6GIJUOTSC","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":"c848084f7421dd7ad7b25f82ad2d8b0e90047df74c66b7acfdaae1add5176da2","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-16T22:32:30Z","title_canon_sha256":"f249ffeb1f9eb51c5f4345c1b7a3078c729f51508aa64b5075f9d7044667414f"},"schema_version":"1.0","source":{"id":"2011.08315","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08315","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08315v3","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08315","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_12","alias_value":"2CWZR4UI6NGP","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"2CWZR4UI6NGP7IWD","created_at":"2026-07-05T04:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"2CWZR4UI","created_at":"2026-07-05T04:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:fefd7bd1f7862d7ba73cf7b85198f44072edad3c912fb91f89896c43de0fca16","target":"graph","created_at":"2026-07-05T04:28:06Z","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/2011.08315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led to mounting privacy concerns. This is because private and sensitive information can be potentially learned from sensor data by applications that have access to this data. In this paper, we aim to examine the tradeoff between utility and privacy loss by learning low-dimensional representations that are useful for data obfuscation. We propose deterministic and probabilistic transformations in the latent space of a varia","authors_text":"Hamzeh Khazaei, Omid Ardakanian, Omid Hajihassani","cross_cats":["cs.AI","cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-16T22:32:30Z","title":"Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08315","kind":"arxiv","version":3},"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:ff49de57bbe09b885e4234c68572337841b14753047048857fe7e5d053cf1453","target":"record","created_at":"2026-07-05T04:28:06Z","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":"c848084f7421dd7ad7b25f82ad2d8b0e90047df74c66b7acfdaae1add5176da2","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-16T22:32:30Z","title_canon_sha256":"f249ffeb1f9eb51c5f4345c1b7a3078c729f51508aa64b5075f9d7044667414f"},"schema_version":"1.0","source":{"id":"2011.08315","kind":"arxiv","version":3}},"canonical_sha256":"d0ad98f288f34cffa2c3978c84d1d390b23d9cbc99a2985e42ccccf9a5463252","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0ad98f288f34cffa2c3978c84d1d390b23d9cbc99a2985e42ccccf9a5463252","first_computed_at":"2026-07-05T04:28:06.083642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:06.083642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0F1SkOoZiu3EEIDyO2D1Z8z1I59+5xf4NceMvgGg89hc75jAwc0oN9LKJcvYIbo9EbnwsYee/C71IaSlFSG6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:06.084255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.08315","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff49de57bbe09b885e4234c68572337841b14753047048857fe7e5d053cf1453","sha256:fefd7bd1f7862d7ba73cf7b85198f44072edad3c912fb91f89896c43de0fca16"],"state_sha256":"204ef810170d14fac9ff40796f9a96f247463f0253fbaa66c03bf4d9cb12670b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DkGnLeXOGwPT0QQLWaBV3yJCzh8je6DVJphtXHpZdJQWfvU37IIh+UaFTe4RJ8lPINbMB/enp/fgXccSBEWwAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T19:53:04.972521Z","bundle_sha256":"0da4377f757762ae021780a4bb5d6d4a7bb4059a37278e61fa3e5228c0a192b9"}}