| Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques D Hitaj, LV Mancini arXiv preprint arXiv:1809.00615, 2018 | 65 | 2018 |
| Evasion attacks against watermarking techniques found in MLaaS systems D Hitaj, B Hitaj, LV Mancini 2019 Sixth International Conference on Software Defined Systems (SDS), 55-63, 2019 | 38 | 2019 |
| The Naked Sun: Malicious Cooperation Between Benign-Looking Processes F De Gaspari, D Hitaj, G Pagnotta, L De Carli, LV Mancini Applied Cryptography and Network Security: 18th International Conference …, 2020 | 36 | 2020 |
| Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques F De Gaspari, D Hitaj, G Pagnotta, L De Carli, LV Mancini Neural Computing and Applications 34 (14), 12077-12096, 2022 | 30 | 2022 |
| EnCoD: Distinguishing Compressed and Encrypted File Fragments F De Gaspari, D Hitaj, G Pagnotta, L De Carli, LV Mancini Network and System Security: 14th International Conference, NSS 2020 …, 2020 | 26 | 2020 |
| Evaluating the robustness of geometry-aware instance-reweighted adversarial training D Hitaj, G Pagnotta, I Masi, LV Mancini arXiv preprint arXiv:2103.01914, 2021 | 21 | 2021 |
| Reliable detection of compressed and encrypted data F De Gaspari, D Hitaj, G Pagnotta, L De Carli, LV Mancini Neural Computing and Applications 34 (22), 20379-20393, 2022 | 19 | 2022 |
| Capture the bot: Using adversarial examples to improve captcha robustness to bot attacks D Hitaj, B Hitaj, S Jajodia, LV Mancini IEEE Intelligent Systems 36 (5), 104-112, 2020 | 19 | 2020 |
| Passflow: guessing passwords with generative flows G Pagnotta, D Hitaj, F De Gaspari, LV Mancini 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems …, 2022 | 15 | 2022 |
| MaleficNet: Hiding malware into deep neural networks using spread-spectrum channel coding D Hitaj, G Pagnotta, B Hitaj, LV Mancini, F Perez-Cruz European Symposium on Research in Computer Security, 425-444, 2022 | 13 | 2022 |
| DOLOS: A Novel Architecture for Moving Target Defense G Pagnotta, F De Gaspari, D Hitaj, M Andreolini, M Colajanni, LV Mancini IEEE Transactions on Information Forensics and Security 18, 5890-5905, 2023 | 11 | 2023 |
| Fedcomm: Federated learning as a medium for covert communication D Hitaj, G Pagnotta, B Hitaj, F Perez-Cruz, LV Mancini IEEE Transactions on Dependable and Secure Computing, 2023 | 11 | 2023 |
| Minerva: A file-based ransomware detector D Hitaj, G Pagnotta, F De Gaspari, L De Carli, LV Mancini arXiv preprint arXiv:2301.11050, 2023 | 10 | 2023 |
| Tattooed: A robust deep neural network watermarking scheme based on spread-spectrum channel coding G Pagnotta, D Hitaj, B Hitaj, F Perez-Cruz, LV Mancini arXiv preprint arXiv:2202.06091, 2022 | 6 | 2022 |
| Do you trust your model? emerging malware threats in the deep learning ecosystem D Hitaj, G Pagnotta, F De Gaspari, S Ruko, B Hitaj, LV Mancini, ... arXiv preprint arXiv:2403.03593, 2024 | 4 | 2024 |
| OliVaR: Improving olive variety recognition using deep neural networks H Miho, G Pagnotta, D Hitaj, F De Gaspari, LV Mancini, G Koubouris, ... Computers and Electronics in Agriculture 216, 108530, 2024 | 2 | 2024 |
| Have You Poisoned My Data? Defending Neural Networks against Data Poisoning F De Gaspari, D Hitaj, LV Mancini European Symposium on Research in Computer Security, pp 85–104, 2024 | 1 | 2024 |
| Towards Indestructible Molecular Robots. I Capuni, A Halimi, D Hitaj SOFSEM (Student Research Forum Papers/Posters), 112-119, 2015 | 1 | 2015 |
| Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects S Ennaji, F De Gaspari, D Hitaj, A K/Bidi, LV Mancini arXiv preprint arXiv:2409.18736, 2024 | | 2024 |
Luigi Vincenzo ManciniUniversity Professor, Sapienza University of Rome, ItalyVerified email at di.uniroma1.it
