Machine learning-based detection of ransomware using SDN G Cusack, O Michel, E Keller Proceedings of the 2018 ACM international workshop on security in software …, 2018 | 135 | 2018 |
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 | 68 | 2019 |
Breaking the trust dependence on third party processes for reconfigurable secure hardware A Coughlin, G Cusack, J Wampler, E Keller, E Wustrow Proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019 | 19 | 2019 |
Software packet-level network analytics at cloud scale O Michel, J Sonchack, G Cusack, M Nazari, E Keller, JM Smith IEEE transactions on network and service management 18 (1), 597-610, 2021 | 13 | 2021 |
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 |
Poster: time analysis of the feasibility of vehicular blocktrees J Joy, G Cusack, M Gerla Proceedings of the 3rd Workshop on Experiences with the Design and …, 2017 | 6 | 2017 |
Efficient microservices with elastic containers G Cusack, M Nazari, S Goodarzy, P Oberai, E Rozner, E Keller, R Han Proceedings of the 15th International Conference on Emerging Networking …, 2019 | 4 | 2019 |
Escra: Event-driven, sub-second container resource allocation G Cusack, M Nazari IEEE International Conference on Distributed Computing Systems, 2022 | 3 | 2022 |
Enabling Application-Specific Programmable Compute Infrastructure G Cusack University of Colorado at Boulder, 2023 | | 2023 |
Stochastic Substitute Training: A General Approach to Craft Adversarial Examples against Defenses which Obfuscate Gradients M Hasemi, G Cusack, E Keller ACM Workshop on Artificial Intelligence and Security (AISec), 2018 | | 2018 |
Poster: Machine Learning-Based Fingerprinting of Network Traffic Using Programmable Forwarding Engines G Cusack, O Michel, E Keller | | |