{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YKEUSB67AGWANOKZDDPCRBQJ3P","short_pith_number":"pith:YKEUSB67","canonical_record":{"source":{"id":"1708.04301","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-08-14T20:10:04Z","cross_cats_sorted":["cs.CR","cs.CV"],"title_canon_sha256":"2cce2e3f517d46d4f47352ed655c2f9c81921372e2357decbc6b51cdfd20fbd0","abstract_canon_sha256":"e5e73a45aa2abc294386603d69b630b1872352bae8659bacdf8782e5c72ce1e9"},"schema_version":"1.0"},"canonical_sha256":"c2894907df01ac06b95918de288609dbe42c91fa7e421fa951be56650e4eb2f9","source":{"kind":"arxiv","id":"1708.04301","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.04301","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"1708.04301v1","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.04301","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"YKEUSB67AGWA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YKEUSB67AGWANOKZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YKEUSB67","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YKEUSB67AGWANOKZDDPCRBQJ3P","target":"record","payload":{"canonical_record":{"source":{"id":"1708.04301","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-08-14T20:10:04Z","cross_cats_sorted":["cs.CR","cs.CV"],"title_canon_sha256":"2cce2e3f517d46d4f47352ed655c2f9c81921372e2357decbc6b51cdfd20fbd0","abstract_canon_sha256":"e5e73a45aa2abc294386603d69b630b1872352bae8659bacdf8782e5c72ce1e9"},"schema_version":"1.0"},"canonical_sha256":"c2894907df01ac06b95918de288609dbe42c91fa7e421fa951be56650e4eb2f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:37:59.748040Z","signature_b64":"IVf29yvIH7IZtIdRvV5K6pM/M2QCbNjlixWxs05i7WvxrxbMa05Ta0PBxyz0UBGwyC4ETJi+Cq7usjywGwXjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2894907df01ac06b95918de288609dbe42c91fa7e421fa951be56650e4eb2f9","last_reissued_at":"2026-05-18T00:37:59.747561Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:37:59.747561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.04301","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":"2026-05-18T00:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c2QoePQmP8Tlv63zQGT3ic94A5yhNOwyPcwIn8lyYZSPxmUBs7FR4uqgUVoy/pG4Pl/7m4RodwaOd+/WPm9dCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:38:12.880813Z"},"content_sha256":"9cb2705e2d6c802d399c84b07985c205aabe29f9c35025ed337dcac810278cb3","schema_version":"1.0","event_id":"sha256:9cb2705e2d6c802d399c84b07985c205aabe29f9c35025ed337dcac810278cb3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YKEUSB67AGWANOKZDDPCRBQJ3P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV"],"primary_cat":"cs.MM","authors_text":"Andrew Clark, Baicen Xiao, Hossein Hosseini, Radha Poovendran","submitted_at":"2017-08-14T20:10:04Z","abstract_excerpt":"Due to the growth of video data on Internet, automatic video analysis has gained a lot of attention from academia as well as companies such as Facebook, Twitter and Google. In this paper, we examine the robustness of video analysis algorithms in adversarial settings. Specifically, we propose targeted attacks on two fundamental classes of video analysis algorithms, namely video classification and shot detection. We show that an adversary can subtly manipulate a video in such a way that a human observer would perceive the content of the original video, but the video analysis algorithm will retur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.04301","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":""},"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":"2026-05-18T00:37:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7x7aq/cvwXX15EX5w5pGuSI+RO8j8WrOLSevOLxndCQrm0oMoIPFnH5jzwP/yg1eMW6wyPwPUIHHoC8Krr6sAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:38:12.881523Z"},"content_sha256":"156684663235d7df9553cd68bac07fcfc718637ce753acdaae66026c29cd3e83","schema_version":"1.0","event_id":"sha256:156684663235d7df9553cd68bac07fcfc718637ce753acdaae66026c29cd3e83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/bundle.json","state_url":"https://pith.science/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/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":"2026-05-30T15:38:12Z","links":{"resolver":"https://pith.science/pith/YKEUSB67AGWANOKZDDPCRBQJ3P","bundle":"https://pith.science/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/bundle.json","state":"https://pith.science/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YKEUSB67AGWANOKZDDPCRBQJ3P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YKEUSB67AGWANOKZDDPCRBQJ3P","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":"e5e73a45aa2abc294386603d69b630b1872352bae8659bacdf8782e5c72ce1e9","cross_cats_sorted":["cs.CR","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-08-14T20:10:04Z","title_canon_sha256":"2cce2e3f517d46d4f47352ed655c2f9c81921372e2357decbc6b51cdfd20fbd0"},"schema_version":"1.0","source":{"id":"1708.04301","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.04301","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"arxiv_version","alias_value":"1708.04301v1","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.04301","created_at":"2026-05-18T00:37:59Z"},{"alias_kind":"pith_short_12","alias_value":"YKEUSB67AGWA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YKEUSB67AGWANOKZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YKEUSB67","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:156684663235d7df9553cd68bac07fcfc718637ce753acdaae66026c29cd3e83","target":"graph","created_at":"2026-05-18T00:37:59Z","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"},"paper":{"abstract_excerpt":"Due to the growth of video data on Internet, automatic video analysis has gained a lot of attention from academia as well as companies such as Facebook, Twitter and Google. In this paper, we examine the robustness of video analysis algorithms in adversarial settings. Specifically, we propose targeted attacks on two fundamental classes of video analysis algorithms, namely video classification and shot detection. We show that an adversary can subtly manipulate a video in such a way that a human observer would perceive the content of the original video, but the video analysis algorithm will retur","authors_text":"Andrew Clark, Baicen Xiao, Hossein Hosseini, Radha Poovendran","cross_cats":["cs.CR","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-08-14T20:10:04Z","title":"Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.04301","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":"sha256:9cb2705e2d6c802d399c84b07985c205aabe29f9c35025ed337dcac810278cb3","target":"record","created_at":"2026-05-18T00:37:59Z","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":"e5e73a45aa2abc294386603d69b630b1872352bae8659bacdf8782e5c72ce1e9","cross_cats_sorted":["cs.CR","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2017-08-14T20:10:04Z","title_canon_sha256":"2cce2e3f517d46d4f47352ed655c2f9c81921372e2357decbc6b51cdfd20fbd0"},"schema_version":"1.0","source":{"id":"1708.04301","kind":"arxiv","version":1}},"canonical_sha256":"c2894907df01ac06b95918de288609dbe42c91fa7e421fa951be56650e4eb2f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2894907df01ac06b95918de288609dbe42c91fa7e421fa951be56650e4eb2f9","first_computed_at":"2026-05-18T00:37:59.747561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:37:59.747561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IVf29yvIH7IZtIdRvV5K6pM/M2QCbNjlixWxs05i7WvxrxbMa05Ta0PBxyz0UBGwyC4ETJi+Cq7usjywGwXjBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:37:59.748040Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.04301","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9cb2705e2d6c802d399c84b07985c205aabe29f9c35025ed337dcac810278cb3","sha256:156684663235d7df9553cd68bac07fcfc718637ce753acdaae66026c29cd3e83"],"state_sha256":"de0b687e7e932ecf1329469d8f8f2716c6658b096a76b1dadf32014744348cff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nFQ9CuSziLIGNQQ4bK8gVh7rdtHKRIk09wxT9lmit3t6UXLXQKDd/gw04tWXkIg2IXwWjBwHKwkED8c84zRIDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T15:38:12.885976Z","bundle_sha256":"eabfabb10a354aa280a2f9939569597f95ea2b4a74b91ed56378ef89632b9759"}}