Publications
See also my Google Scholar profile.
Under Review
Don't Just Eat the EXE: Raw-Binary Malware Classifiers Need Structure and Scale
Under review, 2026
DAUGL: Cross-Platform Malware Detection via Unsupervised Global and Local Domain Alignment
Under review, 2026
Conference Proceedings
Network and Distributed System Security Symposium (NDSS), 2026
Paper Slides Talk Venue page
BibTeX
@inproceedings{kurlandski2026beyond,
author = {Kurlandski, Luke and Berger, Harel and Pan, Yin and Wright, Matthew},
title = {Beyond Raw Bytes: Towards Large Malware Language Models},
booktitle = {Network and Distributed System Security Symposium (NDSS)},
year = {2026},
}IEEE International Conference on Semantic Computing (ICSC), 2022
Paper
BibTeX
@inproceedings{kurlandski2022stopsets,
author = {Kurlandski, Luke and Bloodgood, Michael},
title = {Impact of Stop Sets on Stopping Active Learning for Text Classification},
booktitle = {IEEE International Conference on Semantic Computing (ICSC)},
year = {2022},
}IEEE Conference on Lasers and Electro-Optics (CLEO), 2021
SPIE Practical Holography: Displays, Materials, and Applications, 2021
Journal Articles
Optics Express, 2022
Workshop Papers
SERP4IoT 2026 Towards Moving Target Defense for IoT Malware Detection
Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT), 2026
Paper
BibTeX
@inproceedings{ryan2026moving,
author = {Ryan, Ita and Kurlandski, Luke and Mathews, Nate},
title = {Towards Moving Target Defense for {IoT} Malware Detection},
booktitle = {Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT)},
year = {2026},
}Workshop on Rethinking Malware Analysis (WoRMA), co-located with IEEE EuroS&P, 2025
Paper
BibTeX
@inproceedings{kurlandski2025reapir,
author = {Kurlandski, Luke and Mosli, Rayan and Pan, Yin and Thianphan, Sirapat and Wright, Matthew},
title = {Do Fear the {REAPIR}: Adversarial Malware from {API} Replacement},
booktitle = {Workshop on Rethinking Malware Analysis (WoRMA)},
year = {2025},
}Poster Sessions
Pretrained Executable Language Models (ELMs) Excel at Malware Understanding
USENIX Security Symposium (Poster), 2024
Modeling Stepping-Stone Flows Using Stochastic Random Walks and Black Box Neural Networks
Western New York Image and Signal Processing Workshop (WNYISPW), 2024
From Bytes to Insights: A New Era of Malware Detection
Western New York Image and Signal Processing Workshop (WNYISPW), 2023
An Adversarial Malware Evasion Attack Using Machine Translation
AI@RIT Summit, 2022
Evaluating ML Recommender Systems without Interactions Data
ACM Technical Symposium on Computer Science Education (SIGCSE), 2021
