| DeNASA: Destination-Naive AS-Awareness in Anonymous Communications A Barton, M Wright Proceedings on Privacy Enhancing Technologies 2016 (4), 2016 | 52 | 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 | 19 | 2018 |
| Guard sets in tor using as relationships M Imani, A Barton, M Wright Proceedings on Privacy Enhancing Technologies (PoPETs) 2018 (1), 2018 | 12 | 2018 |
| Defending Neural Networks Against Adversarial Examples A Barton The University of Texas at Arlington, 2018 | 3 | 2018 |
| Defending Against Adversarial Examples in Deep Neural Network Classifiers A Barton, E Jatho III Monterey, California. Naval Postgraduate School, 2021 | 2 | 2021 |
| Forming guard sets using AS relationships M Imani, A Barton, M Wright arXiv preprint arXiv:1706.05592, 2017 | 2 | 2017 |
| Towards Predicting Efficient and Anonymous Tor Circuits M Wright, A Barton, M Imani, J Ming | | 2018 |
| Evaluating a Planning Product for Active Cyberdefense and Cyberdeception JJ Green, SK Drew, CW Heinen, RE Bixler, NC Rowe, AC Barton | | |
| 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 WrightProfessor and Chair of Cybersecurity, Rochester Institute of TechnologyVerified email at rit.edu
