Detection of Encrypted Malicious Network Traffic using Machine Learning. - Michael J. De Lucia; Chase Cotton (MILCOM, 2019)

Features and Operation of an Autonomous Agent for Cyber Defense. - Michael J. De Lucia; Allison Newcomb; Alexander Kott (CoRR, 2019)

A network security classifier defense: against adversarial machine learning attacks. - Michael J. De Lucia; Chase Cotton (WiseML@WiSec, 2020)

Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities. - Tyler J. Shipp; Daniel J. Clouse; Michael J. De Lucia; Metin B. Ahiskali; Kai Steverson; Jonathan M. Mullin; Nathaniel D. Bastian (CoRR, 2020)

Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison. - Zhongjie Wang 002; Shitong Zhu; Keyu Man; Pengxiong Zhu; Yu Hao 006; Zhiyun Qian; Srikanth V. Krishnamurthy; Tom La Porta; Michael J. De Lucia (MTD@CCS, 2021)

Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. - Sridhar Venkatesan; Harshvardhan Sikka; Rauf Izmailov; Ritu Chadha; Alina Oprea; Michael J. De Lucia (MILCOM, 2021)

Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection. - Galamo Monkam; Michael J. De Lucia; Nathaniel D. Bastian (DSC, 2023)

Transfer learning for raw network traffic detection. - David A. Bierbrauer; Michael J. De Lucia; Krishna Reddy; Paul Maxwell; Nathaniel D. Bastian (Expert Syst. Appl., 2023)

Improving Android Malware Detection with Entropy Bytecode-to-Image Encoding Framework. - Saleh J. Makkawy; Abdalrahman Alblwi; Michael J. De Lucia; Kenneth E. Barner (ICCCN, 2024)

A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems. - Galamo Monkam; Michael J. De Lucia; Nathaniel D. Bastian (Comput. Secur., 2024)

TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. - Yuzhou Nie; Yanting Wang; Jinyuan Jia 001; Michael J. De Lucia; Nathaniel D. Bastian; Wenbo Guo 002; Dawn Song (CoRR, 2024)

On the Adversarial Vulnerability of Label-Free Test-Time Adaptation. - Shahriar Rifat; Jonathan D. Ashdown; Michael J. De Lucia; Ananthram Swami; Francesco Restuccia 001 (ICLR, 2025)

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification. - Saleh J. Makkawy; Michael J. De Lucia; Kenneth E. Barner (CoRR, 2025)