| On the Effectiveness of Machine and Deep Learning for Cyber Security G Apruzzese, M Colajanni, L Ferretti, A Guido, M Marchetti International Conference on Cyber Conflict (CyCon), 371-390, 2018 | 342 | 2018 |
| Addressing Adversarial Attacks Against Security Systems based on Machine Learning G Apruzzese, M Colajanni, L Ferretti, M Marchetti International Conference on Cyber Conflict (CyCon) 900, 1-18, 2019 | 110 | 2019 |
| Deep Reinforcement Adversarial Learning against Botnet Evasion Attacks G Apruzzese, M Andreolini, M Marchetti, A Venturi, M Colajanni IEEE Transactions on Network and Service Management 17 (4), 1975-1987, 2020 | 85 | 2020 |
| Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems G Apruzzese, M Andreolini, L Ferretti, M Marchetti, M Colajanni ACM Digital Threats: Research and Practice, 2021 | 84 | 2021 |
| The Role of Machine Learning in Cybersecurity G Apruzzese, P Laskov, EM de Oca, W Mallouli, LB Rapa, ... ACM Digital Threats: Research and Practice, 2022 | 75 | 2022 |
| Evading Botnet Detectors based on Flows and Random Forest with Adversarial Samples G Apruzzese, M Colajanni [Best Student Paper Award] 2018 IEEE 17th International Symposium on Network …, 2018 | 58 | 2018 |
| “Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice G Apruzzese, HS Anderson, S Dambra, D Freeman, F Pierazzi, ... First IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 56 | 2023 |
| The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems G Apruzzese, L Pajola, M Conti IEEE Transactions on Network and Service Management, 2022 | 54 | 2022 |
| Hardening Random Forest Cyber Detectors against Adversarial Attacks G Apruzzese, M Andreolini, M Colajanni, M Marchetti IEEE Transactions on Emerging Topics in Computational Intelligence 4 (4 …, 2020 | 48 | 2020 |
| Evaluating the Effectiveness of Adversarial Attacks against Botnet Detectors G Apruzzese, M Colajanni, M Marchetti [Best Student Paper Award] International Symposium on Network Computing and …, 2019 | 43 | 2019 |
| Detection and Threat Prioritization of Pivoting Attacks in Large Networks G Apruzzese, F Pierazzi, M Colajanni, M Marchetti IEEE Transactions on Emerging Topics in Computing 8 (2), 404-415, 2017 | 40 | 2017 |
| Identifying Malicious Hosts involved in Periodic Communications G Apruzzese, M Marchetti, M Colajanni, GG Zoccoli, A Guido International Symposium on Network Computing and Applications (NCA), 1-8, 2017 | 27 | 2017 |
| DReLAB–Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems A Venturi, G Apruzzese, M Andreolini, M Colajanni, M Marchetti Data in Brief, 106631, 2020 | 26 | 2020 |
| Scalable Architecture for Online Prioritisation of Cyber Threats F Pierazzi, G Apruzzese, M Colajanni, A Guido, M Marchetti International Conference on Cyber Conflict (CyCon), 1-18, 2017 | 26 | 2017 |
| SoK: The Impact of Unlabelled Data in Cyberthreat Detection G Apruzzese, P Laskov, A Tastemirova [Oustanding Presentation Award] IEEE European Symposium on Security and …, 2022 | 24 | 2022 |
| AppCon: Mitigating Evasion Attacks to ML Cyber Detectors G Apruzzese, M Andreolini, M Marchetti, VG Colacino, G Russo Symmetry 12 (4), 653, 2020 | 19 | 2020 |
| SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning G Apruzzese, M Conti, Y Yuan Annual Computer Security Applications Conference (ACSAC) [Artifact: Reusable …, 2022 | 15 | 2022 |
| On the Evaluation of Sequential Machine Learning for Network Intrusion Detection A Corsini, SJ Yang, G Apruzzese International Conference on Availability, Reliability and Security (ARES …, 2021 | 14 | 2021 |
| Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors G Apruzzese, VS Subrahmanian IEEE Transactions on Dependable and Secure Computing (TDSC), 2022 | 11 | 2022 |
| Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples G Apruzzese, R Vladimirov, A Tastemirova, P Laskov IEEE Transactions on Network and Service Management (TNSM), 2022 | 11 | 2022 |
Michele COLAJANNIUniversity of BolognaVerified email at unibo.it
