Dorjan Hitaj

According to our database, Dorjan Hitaj authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OliVaR: Improving olive variety recognition using deep neural networks.

Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi Vincenzo Mancini, Georgios Koubouris, Gianluca Godino, Mehmet Hakan, Concepcion Muñoz Diez

Comput. Electron. Agric., January, 2024

FedComm: Federated Learning as a Medium for Covert Communication.

Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini

IEEE Trans. Dependable Secur. Comput., 2024

Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects.

Sabrine Ennaji, Fabio De Gaspari, Dorjan Hitaj, Alicia K Bidi, Luigi V. Mancini

CoRR, 2024

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem.

Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz

CoRR, 2024

Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning.

Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

DOLOS: A Novel Architecture for Moving Target Defense.

Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini, Michele Colajanni, Luigi V. Mancini

IEEE Trans. Inf. Forensics Secur., 2023

Minerva: A File-Based Ransomware Detector.

Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Lorenzo De Carli, Luigi V. Mancini

CoRR, 2023

2022

Reliable detection of compressed and encrypted data.

Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini

Neural Comput. Appl., 2022

Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques.

Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini

Neural Comput. Appl., 2022

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding.

Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini

CoRR, 2022

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding.

Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz

Proceedings of the Computer Security - ESORICS 2022, 2022

PassFlow: Guessing Passwords with Generative Flows.

Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks.

Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini

IEEE Intell. Syst., 2021

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training.

Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi, Luigi V. Mancini

CoRR, 2021

2020

EnCoD: Distinguishing Compressed and Encrypted File Fragments.

Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini

Proceedings of the Network and System Security - 14th International Conference, 2020

The Naked Sun: Malicious Cooperation Between Benign-Looking Processes.

Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini

Proceedings of the Applied Cryptography and Network Security, 2020

2019

Evasion Attacks Against Watermarking Techniques found in MLaaS Systems.

Dorjan Hitaj, Briland Hitaj, Luigi V. Mancini

Proceedings of the 6th International Conference on Software Defined Systems, 2019

2018

Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques.

Dorjan Hitaj, Luigi V. Mancini

CoRR, 2018

2015

Towards Indestructible Molecular Robots.

Ilir Çapuni, Anisa Halimi, Dorjan Hitaj

Proceedings of Student Research Forum Papers and Posters at SOFSEM 2015, 2015