{"id":"https://openalex.org/W2972577746","doi":"https://doi.org/10.18653/v1/w19-4824","title":"Adversarial Attack on Sentiment Classification","display_name":"Adversarial Attack on Sentiment Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2972577746","doi":"https://doi.org/10.18653/v1/w19-4824","mag":"2972577746"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4824","pdf_url":"https://www.aclweb.org/anthology/W19-4824.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/W19-4824.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101943312","display_name":"Yi-Ting Tsai","orcid":"https://orcid.org/0000-0001-6098-8944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi-Ting Tsai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076102589","display_name":"Min-Chu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min-Chu Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854089","display_name":"Hanyu Chen","orcid":"https://orcid.org/0000-0002-8460-552X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han-Yu Chen","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.029,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":24,"citation_normalized_percentile":{"value":0.836753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998,"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":0.9998,"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":0.9959,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9935,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.53118324},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4618861},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment Analysis","score":0.44453275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77429485},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.64722925},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6465186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553613},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.53118324},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49935222},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4618861},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.44453275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4210647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34306955},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2177898},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08317512},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4824","pdf_url":"https://www.aclweb.org/anthology/W19-4824.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4824","pdf_url":"https://www.aclweb.org/anthology/W19-4824.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.53}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1945616565","https://openalex.org/W2113459411","https://openalex.org/W2594590228","https://openalex.org/W2609368435","https://openalex.org/W2735135478","https://openalex.org/W2767899794","https://openalex.org/W2777353073","https://openalex.org/W2785699986","https://openalex.org/W2798966449","https://openalex.org/W2962718684","https://openalex.org/W2963207607","https://openalex.org/W2963542245","https://openalex.org/W2963661177","https://openalex.org/W2964153729","https://openalex.org/W4294410794","https://openalex.org/W4300511536"],"related_works":["https://openalex.org/W4388254351","https://openalex.org/W4386270999","https://openalex.org/W4294769427","https://openalex.org/W4281893144","https://openalex.org/W4225667838","https://openalex.org/W2387906841","https://openalex.org/W2376415519","https://openalex.org/W2374747083","https://openalex.org/W1895908943","https://openalex.org/W1601381279"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,17,22],"white-box":[6,27],"attack":[7,28,34,54,65],"algorithm":[8],"called":[9,30],"\u201cGlobal":[10,93],"Search\u201d":[11,94],"method":[12,95],"and":[13,21,25,67],"compare":[14],"it":[15],"with":[16,101],"simple":[18],"misspelling":[19],"noise":[20],"more":[23,97],"sophisticated":[24],"common":[26],"approach":[29],"\u201cGreedy":[31],"Search\u201d.":[32],"The":[33,53,86],"methods":[35,66],"are":[36],"evaluated":[37],"on":[38,47],"the":[39,48,61,64,68,71,77,82,91,108],"Convolutional":[40],"Neural":[41],"Network":[42],"(CNN)":[43],"sentiment":[44],"classifier":[45],"trained":[46],"IMDB":[49],"movie":[50],"review":[51],"dataset.":[52],"success":[55],"rate":[56],"is":[57,73],"used":[58,74],"to":[59,75,107],"evaluate":[60],"effectiveness":[62],"of":[63,70,79,81],"perplexity":[69],"sentences":[72],"measure":[76],"degree":[78],"distortion":[80,103],"generated":[83],"adversarial":[84,99],"examples.":[85],"experiment":[87],"results":[88],"show":[89],"that":[90],"proposed":[92],"generates":[96],"powerful":[98],"examples":[100],"less":[102,105],"or":[104],"modification":[106],"source":[109],"text.":[110]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2972577746","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6}],"updated_date":"2024-12-13T19:45:49.704148","created_date":"2019-09-19"}