Gaspard Baye

According to our database, Gaspard Baye authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach.

Hamidullah Muslih, S. M. Ahsan Kazmi, Manuel Mazzara, Gaspard Baye

IEEE Access, 2024

2023

Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems.

Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul

Proceedings of the NOMS 2023, 2023

2022

Computing on Wheels: A Deep Reinforcement Learning-Based Approach.

S. M. Ahsan Kazmi, Tai Manh Ho, Tuong Tri Nguyen, Muhammad Fahim, Adil Khan, Md. Jalil Piran, Gaspard Baye

IEEE Trans. Intell. Transp. Syst., 2022

Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report).

Julia Sorrentino, Priscila Silva, Gaspard Baye, Gökhan Kul, Lance Fiondella

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks.

Chidera Biringa, Gaspard Baye, Gökhan Kul

Proceedings of the 11th International Workshop on Hardware and Architectural Support for Security and Privacy, 2022

2021

API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection.

Gaspard Baye, Fatima Hussain, Alma Oracevic, Rasheed Hussain, S. M. Ahsan Kazmi

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020

FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms.

Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020