Mining input grammars from dynamic control flow R Gopinath, B Mathis, A Zeller Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 66 | 2020 |
Parser-directed fuzzing B Mathis, R Gopinath, M Mera, A Kampmann, M Höschele, A Zeller Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 65 | 2019 |
Detecting information flow by mutating input data B Mathis, V Avdiienko, EO Soremekun, M Böhme, A Zeller 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 44 | 2017 |
Learning input tokens for effective fuzzing B Mathis, R Gopinath, A Zeller Proceedings of the 29th ACM SIGSOFT International Symposium on Software …, 2020 | 33 | 2020 |
Sample-Free Learning of Input Grammars for Comprehensive Software Fuzzing R Gopinath, B Mathis, M Höschele, A Kampmann, A Zeller arXiv preprint arXiv:1810.08289, 2018 | 25 | 2018 |
If You Can't Kill a Supermutant, You Have a Problem R Gopinath, B Mathis, A Zeller 2018 IEEE International Conference on Software Testing, Verification and …, 2018 | 13 | 2018 |
Systematic Assessment of Fuzzers using Mutation Analysis P Görz, B Mathis, K Hassler, E Güler, T Holz, A Zeller, R Gopinath 32nd USENIX Security Symposium (USENIX Security 23), 4535-4552, 2023 | 7 | 2023 |
Fuzzing with Fast Failure Feedback R Gopinath, B Bendrissou, B Mathis, A Zeller arXiv preprint arXiv:2012.13516, 2020 | 4 | 2020 |
Dynamic tainting for automatic test case generation B Mathis Proceedings of the 26th ACM SIGSOFT International Symposium on Software …, 2017 | 4 | 2017 |
How to Compare Fuzzers. P Görz, B Mathis, K Hassler, E Güler, T Holz, A Zeller, R Gopinath CoRR, 2022 | | 2022 |
Mining Input Grammars R Gopinath, B Mathis, A Zeller Gesellschaft für Informatik eV, 2021 | | 2021 |
Inferring Input Grammars from Dynamic Control Flow R Gopinath, B Mathis, A Zeller arXiv preprint arXiv:1912.05937, 2019 | | 2019 |