Michael J. De Lucia

Adversarial Machine Learning for Cyber Security

Michael J. De Lucia, Chase Cotton, 2019 .

Features and Operation of an Autonomous Agent for Cyber Defense pdf

Michael J. De Lucia, Alexander Kott, Allison Newcomb, 2019, ArXiv.

A network security classifier defense: against adversarial machine learning attacks

Michael J. De Lucia, Chase Cotton, Chase Cotton, 2020, WiseML@WiSec.

Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities pdf

Michael J. De Lucia, Jonathan M. Mullin, Nathaniel D. Bastian, 2020, ArXiv.

Detection of Encrypted Malicious Network Traffic using Machine Learning

Michael J. De Lucia, Chase Cotton, Chase Cotton, 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).

Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison

Srikanth V. Krishnamurthy, Thomas F. La Porta, Zhongjie Wang, 2021, MTD@CCS.

Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison

Srikanth V. Krishnamurthy, Thomas F. La Porta, Zhongjie Wang, 2021, CCS.

Importance of Features in Adversarial Machine Learning for Cyber Security

Michael J. De Lucia, 2018 .

Transfer learning for raw network traffic detection

Michael J. De Lucia, Nathaniel D. Bastian, David A. Bierbrauer, 2022, Expert Syst. Appl..