{"id":"https://openalex.org/W4406858484","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849104","title":"AI-generated image detectors are surprisingly easy to mislead\u2026 for now","display_name":"AI-generated image detectors are surprisingly easy to mislead\u2026 for now","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406858484","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10849104"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10849104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5041233147","display_name":"Zihang Lyu","orcid":"https://orcid.org/0009-0007-0640-6940"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zihang Lyu","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012943082","display_name":"Jun Xiao","orcid":"https://orcid.org/0000-0002-4935-7866"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jun Xiao","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596518","display_name":"Cong Zhang","orcid":"https://orcid.org/0009-0006-8154-609X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cong Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019678322","display_name":"Kin\u2010Man Lam","orcid":"https://orcid.org/0000-0002-0422-8454"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kin-Man Lam","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041233147"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.4307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7010239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.741599977016449,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.741599977016449,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.7164999842643738,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6414999961853027,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365439891815186},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5755078792572021},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5312390327453613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39252033829689026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36014723777770996},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07365161180496216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365439891815186},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5755078792572021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5312390327453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39252033829689026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36014723777770996},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07365161180496216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc63619.2025.10849104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10849104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2038168805","https://openalex.org/W2194775991","https://openalex.org/W2746600820","https://openalex.org/W2774644650","https://openalex.org/W2799265886","https://openalex.org/W2954930822","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963516603","https://openalex.org/W2963522749","https://openalex.org/W2963542245","https://openalex.org/W2963767194","https://openalex.org/W2969664989","https://openalex.org/W2972986629","https://openalex.org/W2975558816","https://openalex.org/W2982058372","https://openalex.org/W2984854289","https://openalex.org/W3012472557","https://openalex.org/W3034577585","https://openalex.org/W4312933868","https://openalex.org/W4386071953","https://openalex.org/W4390873235","https://openalex.org/W4396759949","https://openalex.org/W4396790815","https://openalex.org/W4402716164","https://openalex.org/W4402917177","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6745560452","https://openalex.org/W6755312952","https://openalex.org/W6790978476","https://openalex.org/W6795288823","https://openalex.org/W6810940779"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"AI-generated":[0,29,58,93],"image":[1,7,59,94],"detectors,":[2,8,30,95],"also":[3],"known":[4],"as":[5],"fake":[6],"have":[9],"demonstrated":[10],"remarkable":[11],"performance":[12],"across":[13],"different":[14],"datasets":[15],"and":[16,22,65,76],"generators,":[17],"achieving":[18],"superior":[19],"detection":[20],"accuracy":[21],"generalizability.":[23],"Considering":[24],"the":[25,97,107],"structures":[26],"of":[27],"existing":[28,57],"which":[31,68],"perform":[32],"binary":[33],"classification,":[34],"we":[35],"propose":[36],"a":[37],"simple":[38],"yet":[39],"effective":[40],"adversarial":[41],"attack":[42,89,98],"method,":[43],"namely":[44],"Binary":[45],"Fast":[46],"Gradient":[47],"Sign":[48],"Method":[49],"(BFGSM),":[50],"in":[51],"this":[52],"paper.":[53],"We":[54],"demonstrate":[55],"that":[56,86],"detectors":[60],"are":[61],"sensitive":[62],"to":[63],"subtle":[64],"imperceptible":[66],"distortions,":[67],"raises":[69],"serious":[70],"safety":[71],"risk":[72],"for":[73,80],"these":[74],"models":[75],"makes":[77],"them":[78],"inadequate":[79],"real-world":[81],"applications.":[82],"Experimental":[83],"results":[84],"show":[85],"our":[87],"proposed":[88],"successfully":[90],"misleads":[91],"current":[92],"reducing":[96],"distortion":[99],"level":[100],"by":[101],"7.72%":[102],"with":[103],"negligible":[104],"impact":[105],"on":[106],"misleading":[108],"success":[109],"rate.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
