{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T15:39:22Z","timestamp":1779896362589,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"SNSF","award":["PCEGP2_186974"],"award-info":[{"award-number":["PCEGP2_186974"]}]},{"name":"ERC","award":["H2020 StG 850868"],"award-info":[{"award-number":["H2020 StG 850868"]}]},{"name":"DARPA","award":["HR001119S0089-AMP-FP-034 , N6600120C4031"],"award-info":[{"award-number":["HR001119S0089-AMP-FP-034 , N6600120C4031"]}]},{"name":"AFRL","award":["FA8655-20-1-7048"],"award-info":[{"award-number":["FA8655-20-1-7048"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,5]]},"DOI":"10.1145\/3564625.3564643","type":"proceedings-article","created":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T01:01:29Z","timestamp":1670029289000},"page":"388-399","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["One Fuzz Doesn\u2019t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1868-4204","authenticated-orcid":false,"given":"Prashast","family":"Srivastava","sequence":"first","affiliation":[{"name":"Purdue University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0220-1706","authenticated-orcid":false,"given":"Stefan","family":"Nagy","sequence":"additional","affiliation":[{"name":"University of Utah, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3639-4342","authenticated-orcid":false,"given":"Matthew","family":"Hicks","sequence":"additional","affiliation":[{"name":"Virginia Tech, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2862-5286","authenticated-orcid":false,"given":"Antonio","family":"Bianchi","sequence":"additional","affiliation":[{"name":"Purdue University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5054-7547","authenticated-orcid":false,"given":"Mathias","family":"Payer","sequence":"additional","affiliation":[{"name":"EPFL, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"REDQUEEN: Fuzzing with Input-to-State Correspondence. In Network and Distributed System Security Symposium(NDSS).","author":"Aschermann Cornelius","year":"2018","unstructured":"Cornelius Aschermann , Sergej Schumilo , Tim Blazytko , Robert Gawlik , and Thorsten Holz . 2018 . REDQUEEN: Fuzzing with Input-to-State Correspondence. In Network and Distributed System Security Symposium(NDSS). Cornelius Aschermann, Sergej Schumilo, Tim Blazytko, Robert Gawlik, and Thorsten Holz. 2018. REDQUEEN: Fuzzing with Input-to-State Correspondence. In Network and Distributed System Security Symposium(NDSS)."},{"key":"e_1_3_2_1_2_1","unstructured":"Andrea Biondo. 2018. Improving AFL\u2019s QEMU mode performance. https:\/\/abiondo.me\/2018\/09\/21\/improving-afl-qemu-mode\/  Andrea Biondo. 2018. Improving AFL\u2019s QEMU mode performance. https:\/\/abiondo.me\/2018\/09\/21\/improving-afl-qemu-mode\/"},{"key":"e_1_3_2_1_3_1","unstructured":"Trail\u00a0Of Bits. 2017. CGC Challenge Dataset. https:\/\/github.com\/trailofbits\/cb_multios  Trail\u00a0Of Bits. 2017. CGC Challenge Dataset. https:\/\/github.com\/trailofbits\/cb_multios"},{"key":"e_1_3_2_1_4_1","volume-title":"Directed Greybox Fuzzing. In ACM SIGSAC Conference on Computer and Communications Security(CCS).","author":"B\u00f6hme Marcel","year":"2017","unstructured":"Marcel B\u00f6hme , Van-Thuan Pham , Manh-Dung Nguyen , and Abhik Roychoudhury . 2017 . Directed Greybox Fuzzing. In ACM SIGSAC Conference on Computer and Communications Security(CCS). Marcel B\u00f6hme, Van-Thuan Pham, Manh-Dung Nguyen, and Abhik Roychoudhury. 2017. Directed Greybox Fuzzing. In ACM SIGSAC Conference on Computer and Communications Security(CCS)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243849"},{"key":"e_1_3_2_1_6_1","volume-title":"RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization. In IEEE Symposium on Security and Privacy(Oakland).","author":"Dinesh Sushant","year":"2020","unstructured":"Sushant Dinesh , Nathan Burow , Dongyan Xu , and Mathias Payer . 2020 . RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization. In IEEE Symposium on Security and Privacy(Oakland). Sushant Dinesh, Nathan Burow, Dongyan Xu, and Mathias Payer. 2020. RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization. In IEEE Symposium on Security and Privacy(Oakland)."},{"key":"e_1_3_2_1_7_1","volume-title":"USENIX Workshop on Offensive Technologies(WOOT).","author":"Fioraldi Andrea","year":"2020","unstructured":"Andrea Fioraldi , Dominik Maier , Heiko Ei\u00dffeldt , and Marc Heuse . 2020 . AFL++: Combining Incremental Steps of Fuzzing Research . In USENIX Workshop on Offensive Technologies(WOOT). Andrea Fioraldi, Dominik Maier, Heiko Ei\u00dffeldt, and Marc Heuse. 2020. AFL++: Combining Incremental Steps of Fuzzing Research. In USENIX Workshop on Offensive Technologies(WOOT)."},{"key":"e_1_3_2_1_8_1","volume-title":"CollAFL: Path Sensitive Fuzzing. In IEEE Symposium on Security and Privacy(Oakland).","author":"Gan S.","unstructured":"S. Gan , C. Zhang , X. Qin , X. Tu , K. Li , Z. Pei , and Z. Chen . 2018 . CollAFL: Path Sensitive Fuzzing. In IEEE Symposium on Security and Privacy(Oakland). S. Gan, C. Zhang, X. Qin, X. Tu, K. Li, Z. Pei, and Z. Chen. 2018. CollAFL: Path Sensitive Fuzzing. In IEEE Symposium on Security and Privacy(Oakland)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2009.5070546"},{"key":"e_1_3_2_1_10_1","volume-title":"Cupid: Automatic Fuzzer Selection for Collaborative Fuzzing. In Annual Computer Security Applications Conference(ACSAC).","author":"G\u00fcler Emre","year":"2020","unstructured":"Emre G\u00fcler , Philipp G\u00f6rz , Elia Geretto , Andrea Jemmett , Sebastian \u00d6sterlund , Herbert Bos , Cristiano Giuffrida , and Thorsten Holz . 2020 . Cupid: Automatic Fuzzer Selection for Collaborative Fuzzing. In Annual Computer Security Applications Conference(ACSAC). Emre G\u00fcler, Philipp G\u00f6rz, Elia Geretto, Andrea Jemmett, Sebastian \u00d6sterlund, Herbert Bos, Cristiano Giuffrida, and Thorsten Holz. 2020. Cupid: Automatic Fuzzer Selection for Collaborative Fuzzing. In Annual Computer Security Applications Conference(ACSAC)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3428334"},{"key":"e_1_3_2_1_12_1","unstructured":"Marc Heuse. 2018. AFL-Dyninst. https:\/\/github.com\/vanhauser-thc\/afl-dyninst  Marc Heuse. 2018. AFL-Dyninst. https:\/\/github.com\/vanhauser-thc\/afl-dyninst"},{"key":"e_1_3_2_1_13_1","volume-title":"BEACON: Directed Grey-Box Fuzzing with Provable Path Pruning. In IEEE Symposium on Security and Privacy(Oakland).","author":"Huang Heqing","year":"2022","unstructured":"Heqing Huang , Yiyuan Guo , Qingkai Shi , Peisen Yao , Rongxin Wu , and Charles Zhang . 2022 . BEACON: Directed Grey-Box Fuzzing with Provable Path Pruning. In IEEE Symposium on Security and Privacy(Oakland). Heqing Huang, Yiyuan Guo, Qingkai Shi, Peisen Yao, Rongxin Wu, and Charles Zhang. 2022. BEACON: Directed Grey-Box Fuzzing with Provable Path Pruning. In IEEE Symposium on Security and Privacy(Oakland)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341301.3359662"},{"key":"e_1_3_2_1_15_1","volume-title":"Evaluating Fuzz Testing. In ACM SIGSAC Conference on Computer and Communications Security(CCS).","author":"Klees George","year":"2018","unstructured":"George Klees , Andrew Ruef , Benji Cooper , Shiyi Wei , and Michael Hicks . 2018 . Evaluating Fuzz Testing. In ACM SIGSAC Conference on Computer and Communications Security(CCS). George Klees, Andrew Ruef, Benji Cooper, Shiyi Wei, and Michael Hicks. 2018. Evaluating Fuzz Testing. In ACM SIGSAC Conference on Computer and Communications Security(CCS)."},{"key":"e_1_3_2_1_16_1","volume-title":"PerfFuzz: Automatically Generating Pathological Inputs. In ACM SIGSOFT International Symposium on Software Testing and Analysis(ISSTA).","author":"Lemieux Caroline","year":"2018","unstructured":"Caroline Lemieux , Rohan Padhye , Koushik Sen , and Dawn Song . 2018 . PerfFuzz: Automatically Generating Pathological Inputs. In ACM SIGSOFT International Symposium on Software Testing and Analysis(ISSTA). Caroline Lemieux, Rohan Padhye, Koushik Sen, and Dawn Song. 2018. PerfFuzz: Automatically Generating Pathological Inputs. In ACM SIGSOFT International Symposium on Software Testing and Analysis(ISSTA)."},{"key":"e_1_3_2_1_17_1","volume-title":"Steelix: Program-state Based Binary Fuzzing. In ACM Joint Meeting on Foundations of Software Engineering(ESEC\/FSE).","author":"Li Yuekang","year":"2017","unstructured":"Yuekang Li , Bihuan Chen , Mahinthan Chandramohan , Shang-Wei Lin , Yang Liu , and Alwen Tiu . 2017 . Steelix: Program-state Based Binary Fuzzing. In ACM Joint Meeting on Foundations of Software Engineering(ESEC\/FSE). Yuekang Li, Bihuan Chen, Mahinthan Chandramohan, Shang-Wei Lin, Yang Liu, and Alwen Tiu. 2017. Steelix: Program-state Based Binary Fuzzing. In ACM Joint Meeting on Foundations of Software Engineering(ESEC\/FSE)."},{"key":"e_1_3_2_1_18_1","volume-title":"MOPT: Optimize Mutation Scheduling for Fuzzers. In USENIX Security Symposium(USENIX).","author":"Lv Chenyang","year":"2019","unstructured":"Chenyang Lv , Shouling Ji , Chao Zhang , Yuwei Li , Wei-Han Lee , Yu Song , and Raheem Beyah . 2019 . MOPT: Optimize Mutation Scheduling for Fuzzers. In USENIX Security Symposium(USENIX). Chenyang Lv, Shouling Ji, Chao Zhang, Yuwei Li, Wei-Han Lee, Yu Song, and Raheem Beyah. 2019. MOPT: Optimize Mutation Scheduling for Fuzzers. In USENIX Security Symposium(USENIX)."},{"key":"e_1_3_2_1_19_1","unstructured":"Michael Zalewski. 2016. American Fuzzy Lop (AFL) Fuzzer. https:\/\/github.com\/google\/AFL  Michael Zalewski. 2016. American Fuzzy Lop (AFL) Fuzzer. https:\/\/github.com\/google\/AFL"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00069"},{"key":"e_1_3_2_1_21_1","volume-title":"Breaking Through Binaries: Compiler-quality Instrumentation for Better Binary-only Fuzzing. In USENIX Security Symposium(USENIX).","author":"Nagy Stefan","year":"2021","unstructured":"Stefan Nagy , Anh Nguyen-Tuong , Jason\u00a0 D. Hiser , Jack\u00a0 W. Davidson , and Matthew Hicks . 2021 . Breaking Through Binaries: Compiler-quality Instrumentation for Better Binary-only Fuzzing. In USENIX Security Symposium(USENIX). Stefan Nagy, Anh Nguyen-Tuong, Jason\u00a0D. Hiser, Jack\u00a0W. Davidson, and Matthew Hicks. 2021. Breaking Through Binaries: Compiler-quality Instrumentation for Better Binary-only Fuzzing. In USENIX Security Symposium(USENIX)."},{"key":"e_1_3_2_1_22_1","volume-title":"Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing. In ACM SIGSAC Conference on Computer and Communications Security.","author":"Nagy Stefan","year":"2021","unstructured":"Stefan Nagy , Anh Nguyen-Tuong , Jason\u00a0 D Hiser , Jack\u00a0 W Davidson , and Matthew Hicks . 2021 . Same Coverage , Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing. In ACM SIGSAC Conference on Computer and Communications Security. Stefan Nagy, Anh Nguyen-Tuong, Jason\u00a0D Hiser, Jack\u00a0W Davidson, and Matthew Hicks. 2021. Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing. In ACM SIGSAC Conference on Computer and Communications Security."},{"key":"e_1_3_2_1_23_1","volume-title":"Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. In International Symposium on Research in Attacks, Intrusions and Defenses(RAID).","author":"Nguyen Manh-Dung","year":"2020","unstructured":"Manh-Dung Nguyen , S\u00e9bastien Bardin , Richard Bonichon , Roland Groz , and Matthieu Lemerre . 2020 . Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. In International Symposium on Research in Attacks, Intrusions and Defenses(RAID). Manh-Dung Nguyen, S\u00e9bastien Bardin, Richard Bonichon, Roland Groz, and Matthieu Lemerre. 2020. Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. In International Symposium on Research in Attacks, Intrusions and Defenses(RAID)."},{"key":"e_1_3_2_1_24_1","volume-title":"ParmeSan: Sanitizer-guided Greybox Fuzzing. In USENIX Security Symposium(USENIX).","author":"\u00d6sterlund Sebastian","year":"2020","unstructured":"Sebastian \u00d6sterlund , Kaveh Razavi , Herbert Bos , and Cristiano Giuffrida . 2020 . ParmeSan: Sanitizer-guided Greybox Fuzzing. In USENIX Security Symposium(USENIX). Sebastian \u00d6sterlund, Kaveh Razavi, Herbert Bos, and Cristiano Giuffrida. 2020. ParmeSan: Sanitizer-guided Greybox Fuzzing. In USENIX Security Symposium(USENIX)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00056"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134073"},{"key":"e_1_3_2_1_27_1","unstructured":"Scipy. 2021. Spearman rank-order correlation coefficient. https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.spearmanr.html  Scipy. 2021. Spearman rank-order correlation coefficient. https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.spearmanr.html"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/SecDev.2016.043"},{"key":"e_1_3_2_1_29_1","volume-title":"USENIX Security Symposium(USENIX).","author":"Serebryany Kostya","year":"2017","unstructured":"Kostya Serebryany . 2017 . OSS-Fuzz - Google\u2019s continuous fuzzing service for open source software . In USENIX Security Symposium(USENIX). Kostya Serebryany. 2017. OSS-Fuzz - Google\u2019s continuous fuzzing service for open source software. In USENIX Security Symposium(USENIX)."},{"key":"e_1_3_2_1_30_1","volume-title":"AddressSanitizer: A Fast Address Sanity Checker. In USENIX Annual Technical Conference(ATC).","author":"Serebryany Konstantin","year":"2012","unstructured":"Konstantin Serebryany , Derek Bruening , Alexander Potapenko , and Dmitry Vyukov . 2012 . AddressSanitizer: A Fast Address Sanity Checker. In USENIX Annual Technical Conference(ATC). Konstantin Serebryany, Derek Bruening, Alexander Potapenko, and Dmitry Vyukov. 2012. AddressSanitizer: A Fast Address Sanity Checker. In USENIX Annual Technical Conference(ATC)."},{"key":"e_1_3_2_1_31_1","volume-title":"NEUZZ: Efficient Fuzzing with Neural Program Smoothing. In IEEE Symposium on Security and Privacy(Oakland).","author":"She Dongdong","year":"2019","unstructured":"Dongdong She , Kexin Pei , Dave Epstein , Junfeng Yang , Baishakhi Ray , and Suman Jana . 2019 . NEUZZ: Efficient Fuzzing with Neural Program Smoothing. In IEEE Symposium on Security and Privacy(Oakland). Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, and Suman Jana. 2019. NEUZZ: Efficient Fuzzing with Neural Program Smoothing. In IEEE Symposium on Security and Privacy(Oakland)."},{"key":"e_1_3_2_1_32_1","volume-title":"Driller: Augmenting Fuzzing Through Selective Symbolic Execution. In Network and Distributed System Security Symposium(NDSS).","author":"Stephens Nick","year":"2016","unstructured":"Nick Stephens , John Grosen , Christopher Salls , Andrew Dutcher , Ruoyu Wang , Jacopo Corbetta , Yan Shoshitaishvili , Christopher Kruegel , and Giovanni Vigna . 2016 . Driller: Augmenting Fuzzing Through Selective Symbolic Execution. In Network and Distributed System Security Symposium(NDSS). Nick Stephens, John Grosen, Christopher Salls, Andrew Dutcher, Ruoyu Wang, Jacopo Corbetta, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna. 2016. Driller: Augmenting Fuzzing Through Selective Symbolic Execution. In Network and Distributed System Security Symposium(NDSS)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2892208.2892235"},{"key":"e_1_3_2_1_34_1","unstructured":"Robert Swiecki. 2018. honggfuzz. http:\/\/honggfuzz.com\/  Robert Swiecki. 2018. honggfuzz. http:\/\/honggfuzz.com\/"},{"key":"e_1_3_2_1_35_1","first-page":"101","article-title":"A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong","volume":"25","author":"Vargha Andr\u00e1s","year":"2000","unstructured":"Andr\u00e1s Vargha and Harold\u00a0 D Delaney . 2000 . A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong . Journal of Educational and Behavioral Statistics 25 , 2(2000), 101 \u2013 132 . Andr\u00e1s Vargha and Harold\u00a0D Delaney. 2000. A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong. Journal of Educational and Behavioral Statistics 25, 2(2000), 101\u2013132.","journal-title":"Journal of Educational and Behavioral Statistics"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380386"},{"key":"e_1_3_2_1_37_1","volume-title":"TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection. In IEEE Symposium on Security and Privacy(Oakland).","author":"Wang T.","unstructured":"T. Wang , T. Wei , G. Gu , and W. Zou . 2010 . TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection. In IEEE Symposium on Security and Privacy(Oakland). T. Wang, T. Wei, G. Gu, and W. Zou. 2010. TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection. In IEEE Symposium on Security and Privacy(Oakland)."},{"key":"e_1_3_2_1_38_1","volume-title":"Targeted Greybox Fuzzing with Static Lookahead Analysis. In International Conference on Software Engineering(ICSE).","author":"W\u00fcstholz Valentin","year":"2020","unstructured":"Valentin W\u00fcstholz and Maria Christakis . 2020 . Targeted Greybox Fuzzing with Static Lookahead Analysis. In International Conference on Software Engineering(ICSE). Valentin W\u00fcstholz and Maria Christakis. 2020. Targeted Greybox Fuzzing with Static Lookahead Analysis. In International Conference on Software Engineering(ICSE)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00035"},{"key":"e_1_3_2_1_40_1","volume-title":"QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing. In USENIX Security Symposium(USENIX).","author":"Yun Insu","year":"2018","unstructured":"Insu Yun , Sangho Lee , Meng Xu , Yeongjin Jang , and Taesoo Kim . 2018 . QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing. In USENIX Security Symposium(USENIX). Insu Yun, Sangho Lee, Meng Xu, Yeongjin Jang, and Taesoo Kim. 2018. QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing. In USENIX Security Symposium(USENIX)."},{"key":"e_1_3_2_1_41_1","unstructured":"Michal Zalewski. 2017. American fuzzy lop. http:\/\/lcamtuf.coredump.cx\/afl\/  Michal Zalewski. 2017. American fuzzy lop. http:\/\/lcamtuf.coredump.cx\/afl\/"},{"key":"e_1_3_2_1_42_1","volume-title":"Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing. In Network and Distributed System Security Symposium(NDSS).","author":"Zhao Lei","year":"2019","unstructured":"Lei Zhao , Yue Duan , Heng Yin , and Jifeng Xuan . 2019 . Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing. In Network and Distributed System Security Symposium(NDSS). Lei Zhao, Yue Duan, Heng Yin, and Jifeng Xuan. 2019. Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing. In Network and Distributed System Security Symposium(NDSS)."},{"key":"e_1_3_2_1_43_1","volume-title":"USENIX Security Symposium(USENIX).","author":"Zong Peiyuan","year":"2020","unstructured":"Peiyuan Zong , Tao Lv , Dawei Wang , Zizhuang Deng , Ruigang Liang , and Kai Chen . 2020 . Fuzzguard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning . In USENIX Security Symposium(USENIX). Peiyuan Zong, Tao Lv, Dawei Wang, Zizhuang Deng, Ruigang Liang, and Kai Chen. 2020. Fuzzguard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning. In USENIX Security Symposium(USENIX)."}],"event":{"name":"ACSAC: Annual Computer Security Applications Conference","location":"Austin TX USA","acronym":"ACSAC"},"container-title":["Proceedings of the 38th Annual Computer Security Applications Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3564625.3564643","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3564625.3564643","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3564625.3564643","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:12Z","timestamp":1750183752000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3564625.3564643"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,5]]},"references-count":43,"alternative-id":["10.1145\/3564625.3564643","10.1145\/3564625"],"URL":"https:\/\/doi.org\/10.1145\/3564625.3564643","relation":{},"subject":[],"published":{"date-parts":[[2022,12,5]]},"assertion":[{"value":"2022-12-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}