| Towards evaluation of nidss in adversarial setting MJ Hashemi, G Cusack, E Keller Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and …, 2019 | 65 | 2019 |
| Enhancing robustness against adversarial examples in network intrusion detection systems MJ Hashemi, E Keller 2020 IEEE Conference on Network Function Virtualization and Software Defined …, 2020 | 38 | 2020 |
| Stochastic substitute training: A gray-box approach to craft adversarial examples against gradient obfuscation defenses M Hashemi, G Cusack, E Keller Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security …, 2018 | 8 | 2018 |
| Detecting anomalies in network systems by leveraging neural networks MJ Hashemi University of Colorado at Boulder, 2021 | 2 | 2021 |
| General domain adaptation through proportional progressive pseudo labeling MJ Hashemi, E Keller 2020 IEEE International Conference on Big Data (Big Data), 155-162, 2020 | 2 | 2020 |
| Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks MJ Hashemi, E Keller, S Tizpaz-Niari IEEE Transactions on Network and Service Management, 2022 | 1 | 2022 |
| FOCUS: Scalable Search Over Highly Dynamic Geo-distributed State A Alsudais, M Hashemi, Z Huang, B Balasubramanian, SP Narayanan, ... 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 1 | 2019 |
Eric KellerUniversity of Colorado, BoulderVerified email at colorado.edu
