| DeNASA: Destination-Naive AS-Awareness in Anonymous Communications A Barton, M Wright Proceedings on Privacy Enhancing Technologies 2016 (4), 2016 | 40 | 2016 |
| Towards Predicting Efficient and Anonymous Tor Circuits A Barton, M Wright, J Ming, M Imani 27th USENIX Security Symposium (USENIX Security 18), 429-444, 2018 | 12 | 2018 |
| Guard Sets in Tor using AS Relationships. M Imani, A Barton, M Wright Proc. Priv. Enhancing Technol. 2018 (1), 145-165, 2018 | 10 | 2018 |
| Forming guard sets using AS relationships M Imani, A Barton, M Wright arXiv preprint arXiv:1706.05592, 2017 | 2 | 2017 |
| Defending Neural Networks Against Adversarial Examples A Barton The University of Texas at Arlington, 2018 | 1 | 2018 |
| Defending Against Adversarial Examples in Deep Neural Network Classifiers A Barton, E Jatho III Monterey, California. Naval Postgraduate School, 2021 | | 2021 |
| Towards Predicting Efficient and Anonymous Tor Circuits M Wright, A Barton, M Imani, J Ming | | 2018 |
| Poster: PredicTor: Predicting Fast Circuits For A Faster User Experience in Tor A Barton, M Imani, M Wright, J Ming | | |
| Poster: Guard Sets in Tor Using AS Relationships M Imani, A Barton, M Wright | | |
Matthew WrightDirector of Research for the ESL Global Cybersecurity Institute at Rochester Institute of TechnologyVerified email at rit.edu
