By Mr Yuekang Li

Conference Papers

Li Y; Sun Y; Xu Z; Cao J; Li Y; Li R; Chen H; Cheung SC; Liu Y; Xiao Y, 2022, 'RegexScalpel: Regular Expression Denial of Service (ReDoS) Defense by Localize-and-Fix', in Proceedings of the 31st Usenix Security Symposium Security 2022, pp. 4183 - 4200

He X; Xie X; Li Y; Sun J; Li F; Zou W; Liu Y; Yu L; Zhou J; Shi W; Huo W, 2021, 'SoFi: Reflection-Augmented Fuzzing for JavaScript Engines', in Proceedings of the ACM Conference on Computer and Communications Security, pp. 2229 - 2242, http://dx.doi.org/10.1145/3460120.3484823

Li S; Lin Y; Xie X; Li Y; Li X; Ge W; Liu Y; Dong J, 2021, 'A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1186 - 1189, http://dx.doi.org/10.1109/ASE51524.2021.9678794

Zhang C; Lin X; Li Y; Xue Y; Xie J; Chen H; Ying X; Wang J; Liu Y, 2021, 'APICRAFT: Fuzz driver generation for closed-source SDK libraries', in Proceedings of the 30th Usenix Security Symposium, pp. 2811 - 2828

Tian Z; Li Y, 2021, 'AutoCom: Automatic comment generation for C code', in Proceedings of the International Conference on Software Engineering and Knowledge Engineering Seke, pp. 632 - 633, http://dx.doi.org/10.18293/SEKE2021-202

Zhang C; Li Y; Chen H; Luo X; Li M; Nguyen AQ; Liu Y, 2021, 'BIFF: Practical Binary Fuzzing Framework for Programs of IoT and Mobile Devices', in Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Ase 2021, pp. 1161 - 1165, http://dx.doi.org/10.1109/ASE51524.2021.9678910

Li Y; Meng G; Xu J; Zhang C; Chen H; Xie X; Wang H; Liu Y, 2021, 'Vall-nut: Principled Anti-Grey box - Fuzzing', in Proceedings International Symposium on Software Reliability Engineering ISSRE, pp. 288 - 299, http://dx.doi.org/10.1109/ISSRE52982.2021.00039

Li Y; Chen H; Zhang C; Xiong S; Liu C; Wang Y, 2020, 'Ori: A greybox fuzzer for SOME/IP protocols in automotive ethernet', in Proceedings Asia Pacific Software Engineering Conference APSEC, pp. 495 - 499, http://dx.doi.org/10.1109/APSEC51365.2020.00063

Wen C; Wang H; Li Y; Qin S; Liu Y; Xu Z; Chen H; Xie X; Pu G; Liu T, 2020, 'Memlock: Memory usage guided fuzzing', in Proceedings International Conference on Software Engineering, pp. 765 - 777, http://dx.doi.org/10.1145/3377811.3380396

Wang H; Xie X; Li Y; Wen C; Li Y; Liu Y; Qin S; Chen H; Sui Y, 2020, 'Typestate-guided fuzzer for discovering use-after-free vulnerabilities', in Proceedings International Conference on Software Engineering, pp. 999 - 1010, http://dx.doi.org/10.1145/3377811.3380386

Chen H; Guo S; Xue Y; Sui Y; Zhang C; Li Y; Wang H; Liu Y, 2020, 'MUZZ: Thread-aware grey-box fuzzing for effective bug hunting in multithreaded programs', in Proceedings of the 29th Usenix Security Symposium, pp. 2325 - 2342

Li Y; Xue Y; Chen H; Wu X; Zhang C; Xie X; Wang H; Liu Y, 2019, 'Cerebro: Context-aware adaptive fuzzing for effective vulnerability detection', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 533 - 544, http://dx.doi.org/10.1145/3338906.3338975

Wang H; Xie X; Lin SW; Lin Y; Li Y; Qin S; Liu Y; Liu T, 2019, 'Locating vulnerabilities in binaries via memory layout recovering', in Esec Fse 2019 Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 718 - 728, http://dx.doi.org/10.1145/3338906.3338966

Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'DiffChaser: Detecting Disagreements for Deep Neural Networks', in Kraus S (ed.), PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI-INT JOINT CONF ARTIF INTELL, PEOPLES R CHINA, Macao, pp. 5772 - 5778, presented at 28th International Joint Conference on Artificial Intelligence, PEOPLES R CHINA, Macao, 10 August 2019 - 16 August 2019

Du X; Chen B; Li Y; Guo J; Zhou Y; Liu Y; Jiang Y, 2019, 'LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment Through Program Metrics', in Proceedings International Conference on Software Engineering, pp. 60 - 71, http://dx.doi.org/10.1109/ICSE.2019.00024

Xie X; Ma L; Wang H; Li Y; Liu Y; Li X, 2019, 'Diffchaser: Detecting disagreements for deep neural networks', in Ijcai International Joint Conference on Artificial Intelligence, pp. 5772 - 5778, http://dx.doi.org/10.24963/ijcai.2019/800

Chen H; Li Y; Chen B; Xue Y; Liu Y, 2018, 'FOT: A Versatile, Configurable, Extensible Fuzzing Framework', in Leavens GT; Garcia A; Pasareanu CS (eds.), ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, ASSOC COMPUTING MACHINERY, FL, Lake Buena Vista, pp. 867 - 870, presented at 26th ACM Joint Meeting on European Software Engineering Conference (ESEC) / Symposium on the Foundations of Software Engineering (FSE), FL, Lake Buena Vista, 04 November 2018 - 09 November 2018, http://dx.doi.org/10.7115/3236024.3264593

Chen H; Li Y; Chen B; Xue Y; Liu Y, 2018, 'FOT: A versatile, configurable, extensible fuzzing framework', in Esec Fse 2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 867 - 870, http://dx.doi.org/10.1145/3236024.3264593

Chen H; Chen B; Xue Y; Xie X; Liu Y; Li Y; Wu X, 2018, 'Hawkeye: Towards a desired directed grey-box fuzzer', in Proceedings of the ACM Conference on Computer and Communications Security, pp. 2095 - 2108, http://dx.doi.org/10.1145/3243734.3243849

Li Y, 2018, 'Principled greybox fuzzing', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 455 - 458, http://dx.doi.org/10.1007/978-3-030-02450-5_34

Li Y; Chen B; Chandramohan M; Lin SW; Liu Y; Tiu A, 2017, 'Steelix: Program-state based binary fuzzing', in Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp. 627 - 637, http://dx.doi.org/10.1145/3106237.3106295

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