Gaspard Baye

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Comprehensive Reference

Reinforcement Learning

Intrusion Detection System

Top Venues

Preregister@NeurIPS

Publications

Hamidullah Muslih, S. M. Ahsan Kazmi, Manuel Mazzara, Gaspard Baye
Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach. IEEE Access 12 (2024)
Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul
Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems. NOMS (2023)
Julia Sorrentino, Priscila Silva, Gaspard Baye, Gökhan Kul, Lance Fiondella
Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report). ISSRE (2022)
Chidera Biringa, Gaspard Baye, Gökhan Kul
Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks. HASP@MICRO (2022)
Chidera Biringa, Gaspard Baye, Gökhan Kul
Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks. CoRR (2022)
S. M. Ahsan Kazmi, Tai Manh Ho, Tuong Tri Nguyen, Muhammad Fahim, Adil Khan, Md. Jalil Piran, Gaspard Baye
Computing on Wheels: A Deep Reinforcement Learning-Based Approach. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Gaspard Baye, Fatima Hussain, Alma Oracevic, Rasheed Hussain, S. M. Ahsan Kazmi
API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection. ISNCC (2021)
Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal
FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms. Preregister@NeurIPS (2020)