{"id":"https://openalex.org/W2902437702","doi":"https://doi.org/10.1109/icpr.2018.8545152","title":"Generating Adversarial Examples With Conditional Generative Adversarial Net","display_name":"Generating Adversarial Examples With Conditional Generative Adversarial Net","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902437702","doi":"https://doi.org/10.1109/icpr.2018.8545152","mag":"2902437702"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5100623508","display_name":"Ping Yu","orcid":"https://orcid.org/0000-0002-8913-873X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028035527","display_name":"Kaitao Song","orcid":"https://orcid.org/0000-0002-4046-8594"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaitao Song","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037595310","display_name":"Jianfeng Lu","orcid":"https://orcid.org/0000-0002-9190-507X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9672999978065491,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9664999842643738,"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/adversarial-system","display_name":"Adversarial system","score":0.8856834173202515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664949297904968},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7267675399780273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6544654369354248},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5869693756103516},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5350742340087891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5025200843811035},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.471646249294281},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.44494369626045227},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.422367125749588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34731096029281616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34624356031417847}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8856834173202515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664949297904968},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7267675399780273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6544654369354248},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5869693756103516},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5350742340087891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5025200843811035},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.471646249294281},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.44494369626045227},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.422367125749588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34731096029281616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34624356031417847},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1434018057","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2028140375","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2137983211","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2408141691","https://openalex.org/W2460937040","https://openalex.org/W2486441166","https://openalex.org/W2548275288","https://openalex.org/W2603766943","https://openalex.org/W2612637113","https://openalex.org/W2739748921","https://openalex.org/W2750384547","https://openalex.org/W2767075075","https://openalex.org/W2950776302","https://openalex.org/W2963207607","https://openalex.org/W2963226019","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964153729","https://openalex.org/W3146803896","https://openalex.org/W4300511536","https://openalex.org/W4320013936","https://openalex.org/W6628398789","https://openalex.org/W6631190155","https://openalex.org/W6640425456","https://openalex.org/W6718140377","https://openalex.org/W6722479552","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750","https://openalex.org/W4383221314"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"neural":[2],"networks":[3],"have":[4,47],"significant":[5],"progress":[6],"and":[7,70,102,127,130],"successful":[8],"application":[9],"in":[10,94],"various":[11],"fields,":[12],"but":[13,46],"they":[14],"are":[15,56],"found":[16],"vulnerable":[17],"to":[18,35,50,58,66,88],"attack":[19,25,29,40,54,91,139],"instances,":[20],"e.g.,":[21],"adversarial":[22,80,98],"examples.":[23],"State-of-art":[24],"methods":[26],"can":[27,42,122],"generate":[28,59],"images":[30,41],"by":[31,60,79],"adding":[32],"small":[33],"perturbation":[34],"the":[36,44,62,111,124],"source":[37],"image.":[38],"These":[39],"fool":[43],"classifier":[45],"little":[48],"impact":[49],"human.":[51],"Therefore,":[52],"such":[53,114],"instances":[55,92],"difficult":[57],"searching":[61],"feature":[63],"space.":[64],"How":[65],"design":[67],"an":[68],"effective":[69],"robust":[71],"generating":[72,125],"method":[73],"has":[74,131],"become":[75],"a":[76],"spotlight.":[77],"Inspired":[78],"examples,":[81],"we":[82],"propose":[83],"two":[84],"novel":[85],"generative":[86,97],"models":[87,121],"produce":[89],"adaptive":[90],"directly,":[93],"which":[95],"conditional":[96],"network":[99],"is":[100,105],"adopted":[101],"distinctive":[103],"strategy":[104],"designed":[106],"for":[107,137],"training.":[108],"Compared":[109],"with":[110],"common":[112],"method,":[113],"as":[115],"Fast":[116],"Gradient":[117],"Sign":[118],"Method,":[119],"our":[120],"reduce":[123],"cost":[126],"improve":[128],"robustness":[129],"about":[132],"one":[133],"fifth":[134],"running":[135],"time":[136],"producing":[138],"instance.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
