{"id":"https://openalex.org/W3108314561","doi":"https://doi.org/10.1109/isssr51244.2020.00012","title":"DADF: A Dynamic Adaptive Method for Generating Adversarial Examples","display_name":"DADF: A Dynamic Adaptive Method for Generating Adversarial Examples","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3108314561","doi":"https://doi.org/10.1109/isssr51244.2020.00012","mag":"3108314561"},"language":"en","primary_location":{"id":"doi:10.1109/isssr51244.2020.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr51244.2020.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102008461","display_name":"Zhiwen Jiang","orcid":"https://orcid.org/0000-0003-0947-8724"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Jiang","raw_affiliation_strings":["Beijing Information Science and Technology University,Computer School,Beijing,China","Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Computer School,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071655887","display_name":"Zhanqi Cui","orcid":"https://orcid.org/0000-0002-5537-9236"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanqi Cui","raw_affiliation_strings":["Beijing Information Science and Technology University,Computer School,Beijing,China","Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Computer School,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066248564","display_name":"Yiting Zheng","orcid":"https://orcid.org/0009-0008-6164-8616"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiting Zheng","raw_affiliation_strings":["Beijing Information Science and Technology University,Computer School,Beijing,China","Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Computer School,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102173499","display_name":"Jiao Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao Deng","raw_affiliation_strings":["Beijing Information Science and Technology University,Computer School,Beijing,China","Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Computer School,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002399867","display_name":"Xiulei Liu","orcid":"https://orcid.org/0000-0002-9303-3682"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulei Liu","raw_affiliation_strings":["Beijing Information Science and Technology University,Computer School,Beijing,China","Computer School, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,Computer School,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9731000065803528,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9526000022888184,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/mnist-database","display_name":"MNIST database","score":0.9642099738121033},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8743603825569153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7531744241714478},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.599051833152771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975111126899719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5847461819648743},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5428453087806702},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5361876487731934},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44765058159828186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4360811710357666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4017724096775055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39108362793922424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33745381236076355}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9642099738121033},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8743603825569153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531744241714478},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.599051833152771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975111126899719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5847461819648743},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5428453087806702},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5361876487731934},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44765058159828186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4360811710357666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4017724096775055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39108362793922424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33745381236076355},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isssr51244.2020.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isssr51244.2020.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Symposium on System and Software Reliability (ISSSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326666","display_name":"Beijing Information Science and Technology University","ror":"https://ror.org/04xnqep60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W769612788","https://openalex.org/W1673923490","https://openalex.org/W1861492603","https://openalex.org/W1945616565","https://openalex.org/W2243397390","https://openalex.org/W2430148947","https://openalex.org/W2603766943","https://openalex.org/W2604505099","https://openalex.org/W2613718673","https://openalex.org/W2620038827","https://openalex.org/W2754356769","https://openalex.org/W2774644650","https://openalex.org/W2796347433","https://openalex.org/W2952104986","https://openalex.org/W2962694510","https://openalex.org/W2963207607","https://openalex.org/W2963452532","https://openalex.org/W2963709863","https://openalex.org/W2963744840","https://openalex.org/W2964040467","https://openalex.org/W2964153729","https://openalex.org/W2971126145","https://openalex.org/W2999961491","https://openalex.org/W3021751268","https://openalex.org/W4293584584","https://openalex.org/W6622262455","https://openalex.org/W6637162671","https://openalex.org/W6639102338","https://openalex.org/W6640425456","https://openalex.org/W6717888560","https://openalex.org/W6750227808","https://openalex.org/W6764550947","https://openalex.org/W6777002794"],"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":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"have":[4],"made":[5],"remarkable":[6],"achievements":[7],"in":[8],"several":[9],"areas,":[10],"such":[11],"as":[12],"image":[13],"classification.":[14],"However,":[15,53],"extensive":[16],"researches":[17],"show":[18,129],"that":[19],"DNNs":[20],"are":[21,27,120],"vulnerable":[22],"to":[23,71],"adversarial":[24,44,89,118,142],"examples":[25,45,119,143],"which":[26,65],"generated":[28],"by":[29],"adding":[30],"some":[31],"small":[32],"perturbations":[33],"on":[34,92,124,144],"original":[35],"images.":[36],"DeepFool":[37,54,70],"is":[38,113],"an":[39],"effective":[40],"algorithm":[41],"for":[42,87],"generating":[43,88,140],"with":[46,132],"higher":[47],"success":[48],"rate":[49],"and":[50,126,147],"smaller":[51],"perturbations.":[52],"computes":[55],"the":[56,63,67,94,97,103,136,145],"distance":[57],"of":[58,62,69,96,105,110],"all":[59],"classification":[60],"boundaries":[61],"dataset,":[64],"causes":[66],"speed":[68],"be":[72],"very":[73],"slow.":[74],"To":[75],"address":[76],"this":[77,79],"problem,":[78],"paper":[80],"proposes":[81],"DADF,":[82],"a":[83],"dynamic":[84],"adaptive":[85],"method":[86],"examples.":[90],"Based":[91],"tracing":[93],"information":[95],"attacking":[98],"process,":[99],"DADF":[100,134],"dynamically":[101,114],"selects":[102],"subset":[104,109],"target":[106,111],"labels.":[107],"The":[108],"labels":[112],"updated":[115],"once":[116],"successful":[117],"generated.":[121],"Experimental":[122],"results":[123],"MNIST":[125,146],"CIFAR10":[127,148],"datasets":[128],"that,":[130],"comparing":[131],"DeepFool,":[133],"reduce":[135],"time":[137],"greatly":[138],"while":[139],"10000":[141],"dataset.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
