Michael J. De Lucia

22 papers A* 2B 1Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning. CoRR Umid Suleymanov, Murat Kantarcioglu, Kevin S. Chan, Michael J. De Lucia, Kevin W. Hamlen, Latifur Khan, Sharad Mehrotra, Ananthram Swami, Bhavani Thuraisingham
2025	—	`conf`	ClusterFed: Self-supervised Federated Network Intrusion Detection using Clustering. MILCOM Saquib Irtiza, Latifur Khan, Kevin W. Hamlen, Kevin S. Chan, Michael J. De Lucia, Murat Kantarcioglu, Sharad Mehrotra, Ananthram Swami, Bhavani Thuraisingham
2025	J	`jnl`	MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification. CoRR Saleh J. Makkawy, Michael J. De Lucia, Kenneth E. Barner
2025	J	`jnl`	MalVis: Large-Scale Bytecode Visualization Framework for Explainable Android Malware Detection. J. Cybersecur. Priv. Saleh J. Makkawy, Michael J. De Lucia, Kenneth E. Barner
2025	—	`conf`	Model-agnostic clean-label backdoor mitigation in cybersecurity environments. MILCOM Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Michael J. De Lucia, Alina Oprea
2025	—	`conf`	NI-Diff: Zero-Day and Adversarial Network Intrusion Detection with Diffusion Models. MILCOM Milin Zhang, Michael J. De Lucia, Ananthram Swami, Jonathan D. Ashdown, Nathaniel D. Bastian, Francesco Restuccia
2025	J	`jnl`	NOMAD - Navigating Optimal Model Application to Datastreams. CoRR Ashwin Gerard Colaco, Sharad Mehrotra, Michael J. De Lucia, Kevin W. Hamlen, Murat Kantarcioglu, Latifur Khan, Ananthram Swami, Bhavani Thuraisingham
2025	A*	`conf`	On the Adversarial Vulnerability of Label-Free Test-Time Adaptation. ICLR Shahriar Rifat, Jonathan D. Ashdown, Michael J. De Lucia, Ananthram Swami, Francesco Restuccia
2025	—	`conf`	SSPNet: Semi-Supervised Prototypical Networks for Few-Shot Network Intrusion Detection. MILCOM Umid Suleymanov, Murat Kantarcioglu, Kevin S. Chan, Michael J. De Lucia, Kevin W. Hamlen, Latifur Khan, Sharad Mehrotra, Ananthram Swami, Bhavani Thuraisingham
2025	J	`jnl`	What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs. CoRR Xingyu Li, Juefei Pu, Yifan Wu, Xiaochen Zou, Shitong Zhu, Qiushi Wu, Zheng Zhang, Joshua Hsu, Yue Dong, Zhiyun Qian, Kangjie Lu, Trent Jaeger, Michael J. De Lucia, Srikanth V. Krishnamurthy
2024	J	`jnl`	A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems. Comput. Secur. Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian
2024	B	`conf`	Improving Android Malware Detection with Entropy Bytecode-to-Image Encoding Framework. ICCCN Saleh J. Makkawy, Abdalrahman Alblwi, Michael J. De Lucia, Kenneth E. Barner
2024	J	`jnl`	TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
2023	—	`conf`	Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection. DSC Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian
2023	J	`jnl`	Transfer learning for raw network traffic detection. Expert Syst. Appl. David A. Bierbrauer, Michael J. De Lucia, Krishna Reddy, Paul Maxwell, Nathaniel D. Bastian
2021	—	`conf`	Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. MILCOM Sridhar Venkatesan, Harshvardhan Sikka, Rauf Izmailov, Ritu Chadha, Alina Oprea, Michael J. De Lucia
2021	—	`conf`	Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison. MTD@CCS Zhongjie Wang, Shitong Zhu, Keyu Man, Pengxiong Zhu, Yu Hao, Zhiyun Qian, Srikanth V. Krishnamurthy, Tom La Porta, Michael J. De Lucia
2021	A*	`conf`	Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison. CCS Zhongjie Wang, Shitong Zhu, Keyu Man, Pengxiong Zhu, Yu Hao, Zhiyun Qian, Srikanth V. Krishnamurthy, Tom La Porta, Michael J. De Lucia
2020	—	`conf`	A network security classifier defense: against adversarial machine learning attacks. WiseML@WiSec Michael J. De Lucia, Chase Cotton
2020	J	`jnl`	Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities. CoRR Tyler J. Shipp, Daniel J. Clouse, Michael J. De Lucia, Metin B. Ahiskali, Kai Steverson, Jonathan M. Mullin, Nathaniel D. Bastian
2019	—	`conf`	Detection of Encrypted Malicious Network Traffic using Machine Learning. MILCOM Michael J. De Lucia, Chase Cotton
2019	J	`jnl`	Features and Operation of an Autonomous Agent for Cyber Defense. CoRR Michael J. De Lucia, Allison Newcomb, Alexander Kott