Dynamic tainting for automatic test case generation. - Björn Mathis (ISSTA, 2017)

If You Can't Kill a Supermutant, You Have a Problem. - Rahul Gopinath; Björn Mathis; Andreas Zeller (ICST Workshops, 2018)

Detecting Information Flow by Mutating Input Data. - Björn Mathis; Vitalii Avdiienko; Ezekiel O. Soremekun; Marcel Böhme; Andreas Zeller (Software Engineering, 2018)

Sample-Free Learning of Input Grammars for Comprehensive Software Fuzzing. - Rahul Gopinath; Björn Mathis; Matthias Höschele; Alexander Kampmann; Andreas Zeller (CoRR, 2018)

Parser-directed fuzzing. - Björn Mathis; Rahul Gopinath; Michaël Mera; Alexander Kampmann; Matthias Höschele; Andreas Zeller (PLDI, 2019)

Inferring Input Grammars from Dynamic Control Flow. - Rahul Gopinath; Björn Mathis; Andreas Zeller (CoRR, 2019)

Learning input tokens for effective fuzzing. - Björn Mathis; Rahul Gopinath; Andreas Zeller (ISSTA, 2020)

Mining input grammars from dynamic control flow. - Rahul Gopinath; Björn Mathis; Andreas Zeller (ESEC/SIGSOFT FSE, 2020)

Fuzzing with Fast Failure Feedback. - Rahul Gopinath; Bachir Bendrissou; Björn Mathis; Andreas Zeller (CoRR, 2020)

Mining Input Grammars. - Rahul Gopinath; Björn Mathis; Andreas Zeller (Software Engineering, 2021)

How to Compare Fuzzers. - Philipp Görz; Björn Mathis; Keno Hassler; Emre Güler; Thorsten Holz; Andreas Zeller; Rahul Gopinath (CoRR, 2022)

Systematic Assessment of Fuzzers using Mutation Analysis. - Philipp Görz; Björn Mathis; Keno Hassler; Emre Güler; Thorsten Holz; Andreas Zeller; Rahul Gopinath (USENIX Security Symposium, 2023)