| On the effectiveness of machine and deep learning for cyber security G Apruzzese, M Colajanni, L Ferretti, A Guido, M Marchetti 2018 10th international conference on cyber Conflict (CyCon), 371-390, 2018 | 242 | 2018 |
| Addressing adversarial attacks against security systems based on machine learning G Apruzzese, M Colajanni, L Ferretti, M Marchetti 2019 11th international conference on cyber conflict (CyCon) 900, 1-18, 2019 | 71 | 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 | 47 | 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 | 43 | 2021 |
| 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 | 42 | 2018 |
| Evaluating the effectiveness of adversarial attacks against botnet detectors G Apruzzese, M Colajanni, M Marchetti [Best Student Paper Award] 2019 IEEE 18th International Symposium on Network …, 2019 | 32 | 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 | 30 | 2017 |
| 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 | 29 | 2020 |
| Scalable architecture for online prioritisation of cyber threats F Pierazzi, G Apruzzese, M Colajanni, A Guido, M Marchetti 2017 9th International Conference on Cyber Conflict (CyCon), 1-18, 2017 | 22 | 2017 |
| Identifying malicious hosts involved in periodic communications G Apruzzese, M Marchetti, M Colajanni, GG Zoccoli, A Guido 2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017 | 18 | 2017 |
| 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 | 13 | 2022 |
| 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 | 13 | 2020 |
| AppCon: Mitigating evasion attacks to ML cyber detectors G Apruzzese, M Andreolini, M Marchetti, VG Colacino, G Russo Symmetry 12 (4), 653, 2020 | 10 | 2020 |
| 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 | 8 | 2022 |
| SoK: The Impact of Unlabelled Data in Cyberthreat Detection G Apruzzese, P Laskov, A Tastemirova [Oustanding Presentation Award] 7th IEEE European Symposium on Security and …, 2022 | 7 | 2022 |
| On the Evaluation of Sequential Machine Learning for Network Intrusion Detection A Corsini, SJ Yang, G Apruzzese 2021 The 16th International Conference on Availability, Reliability and …, 2021 | 7 | 2021 |
| Towards an Efficient Detection of Pivoting Activity M Husák, G Apruzzese, SJ Yang, G Werner 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021 | 6 | 2021 |
| 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 | 5 | 2022 |
| Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike J Schneider, G Apruzzese IEEE Symposium on Security and Privacy Workshops (2022), 2022 | 4 | 2022 |
| [Position] “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 | 3* | 2023 |
Michele COLAJANNIUniversity of BolognaVerified email at unibo.it
