{"id":"https://openalex.org/W4386763846","doi":"https://doi.org/10.1109/dac56929.2023.10247942","title":"GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs","display_name":"GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386763846","doi":"https://doi.org/10.1109/dac56929.2023.10247942"},"language":"en","primary_location":{"id":"doi:10.1109/dac56929.2023.10247942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","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/A5048830943","display_name":"Dian-Lun Lin","orcid":"https://orcid.org/0000-0003-3075-7437"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dian-Lun Lin","raw_affiliation_strings":["University of Utah,Salt Lake City,UT,USA","University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT,USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612105","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0003-2349-1925"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["Nvidia Corporation,Santa Clara,CA,USA","Nvidia Corporation, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Nvidia Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029928585","display_name":"Haoxing Ren","orcid":"https://orcid.org/0000-0003-1028-3860"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoxing Ren","raw_affiliation_strings":["Nvidia Corporation,Austin,TX,USA","Nvidia Corporation, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation,Austin,TX,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Nvidia Corporation, Austin, TX, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010156116","display_name":"Brucek Khailany","orcid":"https://orcid.org/0000-0002-7584-3489"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brucek Khailany","raw_affiliation_strings":["Nvidia Corporation,Austin,TX,USA","Nvidia Corporation, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation,Austin,TX,USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Nvidia Corporation, Austin, TX, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001479184","display_name":"Shih-Hsin Wang","orcid":"https://orcid.org/0000-0003-2684-8037"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Hsin Wang","raw_affiliation_strings":["University of Utah,Salt Lake City,UT,USA","University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT,USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088685794","display_name":"Tsung\u2010Wei Huang","orcid":"https://orcid.org/0000-0001-9768-3378"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsung-Wei Huang","raw_affiliation_strings":["University of Utah,Salt Lake City,UT,USA","University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,UT,USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048830943"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":10.4571,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.99214824,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958000183105469,"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":0.9951000213623047,"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/fuzz-testing","display_name":"Fuzz testing","score":0.9914076924324036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8684454560279846},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5358293056488037},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4404798448085785},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3620537221431732},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33015942573547363},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.28929775953292847},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20516711473464966}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9914076924324036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8684454560279846},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5358293056488037},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4404798448085785},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3620537221431732},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33015942573547363},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.28929775953292847},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20516711473464966}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac56929.2023.10247942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1990313671","https://openalex.org/W2006982701","https://openalex.org/W2899727632","https://openalex.org/W3127584440","https://openalex.org/W3154674654","https://openalex.org/W3188917597","https://openalex.org/W3198396679","https://openalex.org/W3213773220","https://openalex.org/W4221164739","https://openalex.org/W4320067872","https://openalex.org/W6790848453"],"related_works":["https://openalex.org/W2511770387","https://openalex.org/W3120811337","https://openalex.org/W2766647240","https://openalex.org/W4385301282","https://openalex.org/W2990186179","https://openalex.org/W3203597304","https://openalex.org/W2005148983","https://openalex.org/W2012954338","https://openalex.org/W2096672917","https://openalex.org/W2392023973"],"abstract_inverted_index":{"Hardware":[0],"fuzzing":[1,19,48],"has":[2,32],"emerged":[3],"as":[4],"a":[5,53,57,62,67,77,87],"promising":[6],"automatic":[7],"verification":[8],"technique":[9],"to":[10,25,36,46,101],"efficiently":[11],"discover":[12],"and":[13,91],"verify":[14],"hardware":[15,18,38,64,103],"vulnerabilities.":[16],"However,":[17],"can":[20],"be":[21],"extremely":[22],"time-consuming":[23],"due":[24],"compute-intensive":[26],"iterative":[27],"simulations.":[28],"While":[29],"recent":[30],"research":[31],"explored":[33],"several":[34],"approaches":[35],"accelerate":[37],"fuzzing,":[39],"nearly":[40],"all":[41],"of":[42,52],"them":[43],"are":[44],"limited":[45],"single-input":[47],"using":[49,66],"one":[50],"thread":[51],"CPU-based":[54],"simulator.":[55],"As":[56],"result,":[58],"we":[59,81],"propose":[60],"Gen-Fuzz,":[61],"GPU-accelerated":[63],"fuzzer":[65],"genetic":[68],"algorithm":[69],"with":[70],"multiple":[71],"inputs.":[72],"Measuring":[73],"experimental":[74],"results":[75],"on":[76,86],"real":[78],"industrial":[79],"design,":[80],"show":[82],"that":[83],"GenFuzz":[84],"running":[85],"single":[88],"A6000":[89],"GPU":[90],"eight":[92],"CPU":[93],"cores":[94],"achieves":[95],"80\u00d7":[96],"runtime":[97],"speed-up":[98],"when":[99],"compared":[100],"state-of-the-art":[102],"fuzzers.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}