{"id":"https://openalex.org/W51113573","doi":"https://doi.org/10.1145/2996758","title":"Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security","display_name":"Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security","publication_year":2016,"publication_date":"2016-10-27","ids":{"openalex":"https://openalex.org/W51113573","doi":"https://doi.org/10.1145/2996758","mag":"51113573"},"language":"en","primary_location":{"id":"doi:10.1145/2996758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2996758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9401999711990356,"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/T10734","display_name":"Information and Cyber Security","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7244980931282043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066384315490723},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4648178219795227},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.424063503742218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4196138381958008},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3689664304256439}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244980931282043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066384315490723},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4648178219795227},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.424063503742218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4196138381958008},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3689664304256439}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2996758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2996758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4384648009","https://openalex.org/W2961085424","https://openalex.org/W4303645823","https://openalex.org/W2900159906","https://openalex.org/W4306674287","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600"],"abstract_inverted_index":{"It":[0],"is":[1,31,221,224],"our":[2],"pleasure":[3],"to":[4,7,56,80,99,177,192,228,286],"welcome":[5],"you":[6],"the":[8,32,40,144,241,274],"9th":[9],"ACM":[10],"Workshop":[11],"on":[12,195,262],"Artificial":[13],"Intelligence":[14],"and":[15,46,65,77,83,97,101,119,136,152,168,185,200,250,273],"Security":[16,148,169],"---":[17],"AISec":[18,104],"2016.":[19],"AISec,":[20],"having":[21],"been":[22,55,74],"annually":[23],"co-located":[24],"with":[25,61],"CCS":[26],"for":[27,36,117,162,188],"nine":[28],"consecutive":[29],"years,":[30],"premier":[33],"meeting":[34],"place":[35],"researchers":[37,71,124],"interested":[38],"in":[39,63,91,125,165,170,240],"intersection":[41],"of":[42,111,132,154,203,216,243,276],"security,":[43],"privacy,":[44],"AI,":[45],"machine":[47,66,175,190,204,226,247,271,287],"learning.":[48,67],"Its":[49],"role":[50],"as":[51,89,159],"a":[52,107,129,160,179],"venue":[53],"has":[54],"merge":[57],"practical":[58],"security":[59,181],"problems":[60],"advances":[62],"AI":[64],"In":[68,232],"doing":[69],"so,":[70],"also":[72,280],"have":[73,84],"developing":[75],"theory":[76],"analytics":[78],"unique":[79],"this":[81,233],"domain":[82],"explored":[85],"diverse":[86],"topics":[87],"such":[88],"learning":[90,176,191,205,227,248,288],"game-theoretic":[92],"adversarial":[93,270],"environments,":[94],"privacy-preserving":[95,201],"learning,":[96,272],"applications":[98],"spam":[100],"intrusion":[102],"detection.":[103],"2016":[105],"drew":[106],"record":[108],"38":[109],"submissions,":[110],"which":[112],"12":[113],"(32%)":[114],"were":[115,141],"selected":[116],"publication":[118],"presentation.":[120],"Submissions":[121],"arrived":[122],"from":[123,128,246,265],"16":[126],"countries,":[127],"wide":[130],"variety":[131],"institutions":[133],"both":[134],"academic":[135],"corporate.":[137],"The":[138,207],"accepted":[139],"papers":[140],"organized":[142],"into":[143],"following":[145],"thematic":[146],"groups:":[147],"Data":[149],"Sets:":[150],"Collection":[151],"analysis":[153],"data":[155],"that":[156,173],"can":[157,253],"serve":[158],"baseline":[161],"AI/ML":[163],"research":[164],"security.Machine":[166],"Learning":[167],"Practice:":[171],"Systems":[172],"use":[174],"solve":[178],"particular":[180],"problem.Foundations:":[182],"Theoretical":[183],"constructs":[184],"best":[186],"practices":[187],"applying":[189,225],"security.Privacy:":[193],"Attacks":[194],"user":[196],"privacy":[197,283],"or":[198],"anonymity,":[199],"constructions":[202],"systems.":[206],"keynote":[208],"address":[209],"will":[210,237,260,279],"be":[211],"given":[212],"by":[213],"Elie":[214],"Bursztein":[215,236],"Google,":[217],"Inc.,":[218],"whose":[219],"talk":[220,259],"entitled,":[222],"\"Why":[223],"anti-abuse":[229],"so":[230],"hard?\"":[231],"talk,":[234],"Dr.":[235,257],"discuss":[238],"challenges":[239],"reproducibility":[242],"scientific":[244],"results":[245],"algorithms":[249],"what":[251],"we":[252],"do":[254],"about":[255],"it.":[256],"Bursztein's":[258],"touch":[261],"issues":[263],"arising":[264],"proprietary":[266],"hardware,":[267],"dataset":[268],"availability,":[269],"ethics":[275],"data.":[277],"He":[278],"consider":[281],"several":[282],"questions":[284],"related":[285],"models.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}