Publications

2019

Online Robustness Training for Deep Reinforcement Learning
Marc Fischer, Matthew Mirman, Martin Vechev
arXiv 2019
Universal Approximation with Certified Networks
Maximilian Baader, Matthew Mirman, Martin Vechev
arXiv 2019
A Provable Defense for Deep Residual Networks
Matthew Mirman, Gagandeep Singh, Martin Vechev
ArXiv 2019

2018

Fast and Effective Robustness Certification
Gagandeep Singh, Timon Gehr, Matthew Mirman, Markus Püschel, Martin Vechev
NIPS 2018
Training Neural Machines with Trace-Based Supervision
Matthew Mirman, Dimitar Dimitrov, Pavle Djordjevich, Timon Gehr, Martin Vechev
ICML 2018
AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation
Timon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Petar Tsankov, Swarat Chaudhuri, Martin Vechev
IEEE S&P 2018

Education

  • ETH Zurich, January 2017
    PhD Candidate in Computer Science
  • CMU - SCS , August 2012 – May 2014
    MSCS in Computer Science
  • CMU - SCS , August 2009 – May 2012
    BS in Computer Science