Michael J. De Lucia

According to our database1, Michael J. De Lucia authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.
CoRR, 2024

A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems.
Comput. Secur., 2024

Improving Android Malware Detection with Entropy Bytecode-to-Image Encoding Framework.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
Transfer learning for raw network traffic detection.
Expert Syst. Appl., 2023

Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

2021
Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison.
Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

2020
Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities.
CoRR, 2020

A network security classifier defense: against adversarial machine learning attacks.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

2019
Features and Operation of an Autonomous Agent for Cyber Defense.
CoRR, 2019

Detection of Encrypted Malicious Network Traffic using Machine Learning.
Proceedings of the 2019 IEEE Military Communications Conference, 2019


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