{"id":"https://openalex.org/W3008370785","doi":"https://doi.org/10.1109/bigdata47090.2019.9005597","title":"Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems","display_name":"Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008370785","doi":"https://doi.org/10.1109/bigdata47090.2019.9005597","mag":"3008370785"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100343991","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0002-4138-3082"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ling Liu","raw_affiliation_strings":["School of Computer Science, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100343991"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67901017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9966999888420105,"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":0.9966999888420105,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9545000195503235,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9318000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883527278900146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7755500078201294},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6884393692016602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.682127833366394},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6700634956359863},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6557514071464539},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6230743527412415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4937985837459564},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.489969402551651},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.48023396730422974},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.4278736114501953},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4202845096588135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16692736744880676},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10614049434661865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883527278900146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7755500078201294},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6884393692016602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.682127833366394},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6700634956359863},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6557514071464539},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6230743527412415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4937985837459564},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.489969402551651},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.48023396730422974},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.4278736114501953},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4202845096588135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16692736744880676},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10614049434661865},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298"],"abstract_inverted_index":{"We":[0],"are":[1,35,70,76,114],"entering":[2],"an":[3,121],"exciting":[4],"era":[5],"where":[6],"human":[7],"intelligence":[8,14,20],"is":[9],"being":[10],"enhanced":[11],"by":[12],"machine":[13,23,54,89,116],"through":[15],"big":[16,127,132],"data":[17,51,128,133],"fueled":[18],"artificial":[19],"(AI)":[21],"and":[22,97,104,109,118,130,140,169,181,184,194,202,207,214,228,239,248],"learning":[24,55,117,147,223],"(ML).":[25],"However,":[26],"recent":[27],"work":[28],"shows":[29],"that":[30,216],"DNN":[31,175,199,204],"models":[32,56,201],"trained":[33,200],"privately":[34],"vulnerable":[36],"to":[37,48,52,57,166,225,250],"adversarial":[38,41,88,156],"inputs.":[39],"Such":[40],"inputs":[42],"inject":[43],"small":[44],"amount":[45],"of":[46,87,99,145,155,163,173,179,190,212,241,254],"perturbations":[47],"the":[49,85,100,142,153,161,171,187,191,195,198,203,209,252],"input":[50],"fool":[53],"misbehave,":[58],"turning":[59],"a":[60,94,149,174,221],"deep":[61,146,222,257],"neural":[62],"network":[63],"against":[64],"itself.":[65],"As":[66,107],"new":[67],"defense":[68,246],"methods":[69],"proposed,":[71],"more":[72,108,110],"sophisticated":[73],"attack":[74],"algorithms":[75],"surfaced.":[77],"This":[78,91,158],"arms":[79],"race":[80],"has":[81],"been":[82],"ongoing":[83],"since":[84],"rise":[86],"learning.":[90,258],"keynote":[92,232],"provides":[93],"comprehensive":[95,188],"analysis":[96,238],"characterization":[98],"most":[101],"representative":[102],"attacks":[103],"their":[105,125,131],"defenses.":[106],"mission":[111],"critical":[112],"systems":[113],"incorporating":[115],"AI":[119],"as":[120],"essential":[122],"component":[123],"in":[124,152,197],"real-world":[126],"applications":[129],"service":[134],"provisioning":[135],"platforms":[136],"or":[137],"products,":[138],"understanding":[139,189],"ensuring":[141,255],"verifiable":[143],"robustness":[144,172],"becomes":[148],"pressing":[150],"challenge":[151],"presence":[154],"attacks.":[157],"includes":[159],"(1)":[160],"development":[162],"formal":[164],"metrics":[165],"quantitatively":[167],"evaluate":[168],"measure":[170],"prediction":[176],"with":[177],"respect":[178],"intentional":[180],"unintentional":[182],"artifacts":[183],"deceptions,":[185],"(2)":[186],"blind":[192],"spots":[193],"invariants":[196],"training":[205],"process,":[206],"(3)":[208],"statistical":[210],"measurement":[211],"trust":[213],"distrust":[215],"we":[217],"can":[218],"place":[219],"on":[220],"algorithm":[224],"perform":[226],"reliably":[227],"truthfully.":[229],"In":[230],"this":[231],"talk,":[233],"I":[234],"will":[235],"use":[236],"empirical":[237],"evaluation":[240],"our":[242],"cross-layer":[243],"strategic":[244],"teaming":[245],"framework":[247],"techniques":[249],"illustrate":[251],"feasibility":[253],"robust":[256]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
