{"id":"https://openalex.org/W3110267673","doi":"https://doi.org/10.1007/978-3-030-58565-5_15","title":"Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior","display_name":"Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3110267673","doi":"https://doi.org/10.1007/978-3-030-58565-5_15","mag":"3110267673"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58565-5_15","doi":"https://doi.org/10.1007/978-3-030-58565-5_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58565-5_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"parent_works":[{"id":"https://openalex.org/W4230604704","display_name":"Computer Vision \u2013 ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XX","relationship":"volume"}],"lineage":["https://openalex.org/W3110267673","https://openalex.org/W4230604704"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.07637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115580345","display_name":"Hu Zhang","orcid":"https://orcid.org/0009-0009-9892-9515","observed_orcids":["https://orcid.org/0009-0009-9892-9515"]},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hu Zhang","raw_affiliation_strings":["ReLER, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ReLER, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043617790","display_name":"Linchao Zhu","orcid":"https://orcid.org/0000-0002-4093-7557","observed_orcids":["https://orcid.org/0000-0002-4093-7557"]},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linchao Zhu","raw_affiliation_strings":["ReLER, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ReLER, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019191351","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0002-6482-6712","observed_orcids":["https://orcid.org/0000-0002-6482-6712"]},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["Amazon Web Services, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Web Services, Seattle, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X","observed_orcids":["https://orcid.org/0000-0002-0512-880X","https://orcid.org/0000-0001-5528-0546","https://orcid.org/0000-0002-1330-9985"]},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["ReLER, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ReLER, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115580345"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.8395,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88906212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/frame-correlation","display_name":"frame correlation","score":0.796999990940094},{"id":"https://openalex.org/keywords/gradient-estimation","display_name":"gradient estimation","score":0.7009999752044678},{"id":"https://openalex.org/keywords/query-efficiency","display_name":"query efficiency","score":0.4399999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835534930229187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369258165359497},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6061078310012817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5937449932098389},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5636770129203796},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.549494743347168},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5263023376464844},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5033978819847107},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5027921199798584},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44576892256736755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3959559500217438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24526822566986084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-58565-5_15","doi":"https://doi.org/10.1007/978-3-030-58565-5_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58565-5_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2003.07637","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.07637","pdf_url":"https://arxiv.org/pdf/2003.07637","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/148252","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/148252","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"doi:10.48550/arxiv.2003.07637","doi":"https://doi.org/10.48550/arxiv.2003.07637","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.07637","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.07637","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.07637","pdf_url":"https://arxiv.org/pdf/2003.07637","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110267673.pdf","grobid_xml":"https://content.openalex.org/works/W3110267673.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W237546731","https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2005089986","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2516574342","https://openalex.org/W2603766943","https://openalex.org/W2619082050","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2798801120","https://openalex.org/W2809943552","https://openalex.org/W2883285025","https://openalex.org/W2902809608","https://openalex.org/W2943142229","https://openalex.org/W2962917037","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963207607","https://openalex.org/W2963227409","https://openalex.org/W2963370182","https://openalex.org/W2963820951","https://openalex.org/W2963886665","https://openalex.org/W2964153729","https://openalex.org/W2964309882","https://openalex.org/W2982109374","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2994810768","https://openalex.org/W2996694668","https://openalex.org/W2997582214","https://openalex.org/W2998254302","https://openalex.org/W2999683023","https://openalex.org/W3041485444","https://openalex.org/W3118859451","https://openalex.org/W4310895557","https://openalex.org/W6600459194","https://openalex.org/W6601998182","https://openalex.org/W6605502078","https://openalex.org/W6847397134","https://openalex.org/W6929156220"],"related_works":["https://openalex.org/W3205907275","https://openalex.org/W4388997052","https://openalex.org/W3209583659","https://openalex.org/W6948392037","https://openalex.org/W2982109374","https://openalex.org/W2962917037","https://openalex.org/W4411245207","https://openalex.org/W3204744924","https://openalex.org/W4402981842","https://openalex.org/W3199877015"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2020-12-07T00:00:00"}