Giulio Pagnotta

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

File Organizations

Adaboost Classifier

Reliable Detection

Top Venues

Neural Comput. Appl.

Comput. Electron. Agric.

IEEE Trans. Inf. Forensics Secur.

Publications

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) (2024)
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 (2024)
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 (2024)
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 (2023)
Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj, Mauro Andreolini, Michele Colajanni, Luigi V. Mancini
DOLOS: A Novel Architecture for Moving Target Defense. CoRR (2023)
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 (2023)
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Lorenzo De Carli, Luigi V. Mancini
Minerva: A File-Based Ransomware Detector. CoRR (2023)
Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Perez-Cruz, Luigi V. Mancini
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR (2022)
Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Perez-Cruz, Luigi V. Mancini
FedComm: Federated Learning as a Medium for Covert Communication. CoRR (2022)
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) (2022)
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)
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) (2022)
Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini
PassFlow: Guessing Passwords with Generative Flows. DSN (2022)
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
Reliable Detection of Compressed and Encrypted Data. CoRR (2021)
Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi, Luigi V. Mancini
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training. CoRR (2021)
Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini
PassFlow: Guessing Passwords with Generative Flows. CoRR (2021)
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
EnCoD: Distinguishing Compressed and Encrypted File Fragments. NSS (2020)
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
EnCoD: Distinguishing Compressed and Encrypted File Fragments. CoRR (2020)
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)
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes. CoRR (2019)