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ORCIDDorjan Hitaj
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2020 – today
- 2024
[j6]Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj
, Fabio De Gaspari, Luigi Vincenzo Mancini, Georgios Koubouris, Gianluca Godino, Mehmet Hakan, Concepcion Muñoz Diez:
OliVaR: Improving olive variety recognition using deep neural networks. Comput. Electron. Agric. 216: 108530 (2024)- [j5]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. IEEE Trans. Dependable Secur. Comput. 21(4): 1695-1707 (2024) - [c7]Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini:
Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning. ESORICS (1) 2024: 85-104 - [i15]Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz:
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. CoRR abs/2403.03593 (2024) - [i14]Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini:
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning. CoRR abs/2403.13523 (2024) - [i13]Sabrine Ennaji, Fabio De Gaspari, Dorjan Hitaj, Alicia K/Bidi, Luigi V. Mancini:
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects. CoRR abs/2409.18736 (2024) - 2023
- [j4]Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini, Michele Colajanni, Luigi V. Mancini:
DOLOS: A Novel Architecture for Moving Target Defense. IEEE Trans. Inf. Forensics Secur. 18: 5890-5905 (2023) - [i12]Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Lorenzo De Carli, Luigi V. Mancini:
Minerva: A File-Based Ransomware Detector. CoRR abs/2301.11050 (2023) - [i11]Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini, Michele Colajanni, Luigi V. Mancini:
DOLOS: A Novel Architecture for Moving Target Defense. CoRR abs/2303.00387 (2023) - [i10]Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini, Georgios Koubouris, Gianluca Godino, Mehmet Hakan, Concepcion Muñoz Diez:
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks. CoRR abs/2303.00431 (2023) - 2022
- [j3]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques. Neural Comput. Appl. 34(14): 12077-12096 (2022) - [j2]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
Reliable detection of compressed and encrypted data. Neural Comput. Appl. 34(22): 20379-20393 (2022) - [c6]Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini:
PassFlow: Guessing Passwords with Generative Flows. DSN 2022: 251-262 - [c5]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz:
MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. ESORICS (3) 2022: 425-444 - [i9]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. CoRR abs/2201.08786 (2022) - [i8]Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR abs/2202.06091 (2022) - 2021
- [j1]Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini:
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. IEEE Intell. Syst. 36(5): 104-112 (2021) - [i7]Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi, Luigi V. Mancini:
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training. CoRR abs/2103.01914 (2021) - [i6]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
Reliable Detection of Compressed and Encrypted Data. CoRR abs/2103.17059 (2021) - [i5]Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini:
PassFlow: Guessing Passwords with Generative Flows. CoRR abs/2105.06165 (2021) - 2020
- [c4]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes. ACNS (2) 2020: 254-274 - [c3]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
EnCoD: Distinguishing Compressed and Encrypted File Fragments. NSS 2020: 42-62 - [i4]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
EnCoD: Distinguishing Compressed and Encrypted File Fragments. CoRR abs/2010.07754 (2020) - [i3]Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini:
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. CoRR abs/2010.16204 (2020)
2010 – 2019
- 2019
- [c2]Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini:
Evasion Attacks Against Watermarking Techniques found in MLaaS Systems. SDS 2019: 55-63 - [i2]Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes. CoRR abs/1911.02423 (2019) - 2018
- [i1]Dorjan Hitaj, Luigi V. Mancini:
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques. CoRR abs/1809.00615 (2018) - 2015
- [c1]Ilir Çapuni, Anisa Halimi, Dorjan Hitaj:
Towards Indestructible Molecular Robots. SOFSEM (Student Research Forum Papers / Posters) 2015: 112-119
Coauthor Index
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last updated on 2024-10-18 20:31 CEST by the dblp team
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