Michele Cirillo

According to our database, Michele Cirillo authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability.

Michele Cirillo, Vincenzo Matta, Ali H. Sayed

IEEE Trans. Inf. Theory, February, 2023

Memory-Aware Social Learning Under Partial Information Sharing.

Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed

IEEE Trans. Signal Process., 2023

Healthcare Data Summarization via Medical Entity Recognition and Generative AI.

Giuseppe Riccio, Antonio Romano, Andriy Korsun, Michele Cirillo, Marco Postiglione, Valerio La Gatta, Antonino Ferraro, Antonio Galli, Vincenzo Moscato

Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023

Learning Dynamic Graphs under Partial Observability.

Michele Cirillo, Vincenzo Matta, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2023

The Role of Memory in Social Learning When Sharing Partial Opinions.

Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Cyber-Threat Propagation over Network-Slicing Architectures.

Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Giuseppe Basileo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Botnet Identification in DDoS Attacks With Multiple Emulation Dictionaries.

Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco

IEEE Trans. Inf. Forensics Secur., 2021

Learning Bollobás-Riordan Graphs Under Partial Observability.

Michele Cirillo, Vincenzo Matta, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2021

Application-Layer DDOS Attacks with Multiple Emulation Dictionaries.

Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

ADVoIP: Adversarial Detection of Encrypted and Concealed VoIP.

Paolo Addesso, Michele Cirillo, Mario Di Mauro, Vincenzo Matta

IEEE Trans. Inf. Forensics Secur., 2020

2019

On the Stability and Generalization of Learning with Kernel Activation Functions.

Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini

CoRR, 2019

Adversarial Detection of Concealed VoIP Traffic.

Paolo Addesso, Michele Cirillo, Mario Di Mauro, Maurizio Longo, Vincenzo Matta

Proceedings of the International Conference on Computing, Networking and Communications, 2019