Bringing a GAN to a Knife-fight: Adapting Malware Communication to Avoid Detection M Rigaki, S Garcia IEEE Security and Privacy Workshops (SPW), pp. 70-75, 2018 | 89 | 2018 |
A survey of privacy attacks in machine learning M Rigaki, S Garcia arXiv preprint arXiv:2007.07646, 2020 | 49 | 2020 |
Adversarial Deep Learning Against Intrusion Detection Classifiers M Rigaki Luleå University of Technology, 2017 | 28 | 2017 |
DNS tunneling: A deep learning based lexicographical detection approach F Palau, C Catania, J Guerra, S Garcia, M Rigaki arXiv preprint arXiv:2006.06122, 2020 | 10 | 2020 |
Detecting DNS threats: A deep learning model to rule them all F Palau, C Catania, J Guerra, SJ García, M Rigaki XX Simposio Argentino de Inteligencia Artificial (ASAI 2019)-JAIIO 48 (Salta), 2019 | 2 | 2019 |
A study of machete cyber espionage operations in Latin America V Valeros, M Rigaki, K Babayeva, S García Virus Bulletin International Conference, 2019 | 1 | 2019 |
Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG A Kott, R Thomas, M Drasar, M Kont, A Poylisher, B Blakely, P Theron, ... https://arxiv.org/abs/1804.07646, 2018 | 1 | 2018 |
Stealing Malware Classifiers and AVs at Low False Positive Conditions M Rigaki, S Garcia arXiv preprint arXiv:2204.06241, 2022 | | 2022 |
Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America V Valeros, M Rigaki, S Garcia 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019 | | 2019 |
Adversarial Machine Learning M Rigaki | | |