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JE Holt
JE Holt
Laboratory for Physical Sciences
Verified email at holt.net
Title
Cited by
Cited by
Year
Relext: Relation extraction using deep learning approaches for cybersecurity knowledge graph improvement
A Pingle, A Piplai, S Mittal, A Joshi, J Holt, R Zak
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
1242019
Creating cybersecurity knowledge graphs from malware after action reports
A Piplai, S Mittal, A Joshi, T Finin, J Holt, R Zak
IEEE Access 8, 211691-211703, 2020
872020
Grand challenge: Applying artificial intelligence and machine learning to cybersecurity
K Bresniker, A Gavrilovska, J Holt, D Milojicic, T Tran
Computer 52 (12), 45-52, 2019
462019
Automatic yara rule generation using biclustering
E Raff, R Zak, G Lopez Munoz, W Fleming, HS Anderson, B Filar, ...
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020
352020
Learning with holographic reduced representations
A Ganesan, H Gao, S Gandhi, E Raff, T Oates, J Holt, M McLean
Advances in neural information processing systems 34, 25606-25620, 2021
212021
Leveraging uncertainty for improved static malware detection under extreme false positive constraints
AT Nguyen, E Raff, C Nicholas, J Holt
arXiv preprint arXiv:2108.04081, 2021
182021
Out of distribution data detection using dropout bayesian neural networks
AT Nguyen, F Lu, GL Munoz, E Raff, C Nicholas, J Holt
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7877-7885, 2022
142022
Recasting self-attention with holographic reduced representations
MM Alam, E Raff, S Biderman, T Oates, J Holt
International Conference on Machine Learning, 490-507, 2023
72023
Deploying convolutional networks on untrusted platforms using 2D holographic reduced representations
MM Alam, E Raff, T Oates, J Holt
arXiv preprint arXiv:2206.05893, 2022
52022
Getting passive aggressive about false positives: patching deployed malware detectors
E Raff, B Filar, J Holt
2020 International Conference on Data Mining Workshops (ICDMW), 506-515, 2020
52020
Exploring the sharpened cosine similarity
S Wu, F Lu, E Raff, J Holt
arXiv preprint arXiv:2307.13855, 2023
32023
A coreset learning reality check
F Lu, E Raff, J Holt
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8940-8948, 2023
32023
Marvolo: Programmatic data augmentation for practical ml-driven malware detection
MD Wong, E Raff, J Holt, R Netravali
arXiv preprint arXiv:2206.03265, 2022
32022
Efficient malware analysis using metric embeddings
EM Rudd, D Krisiloff, S Coull, D Olszewski, E Raff, J Holt
Digital Threats: Research and Practice 5 (1), 1-20, 2024
22024
Lempel-Ziv Networks
R Saul, MM Alam, J Hurwitz, E Raff, T Oates, J Holt
Proceedings on, 1-11, 2023
22023
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
MM Alam, E Raff, SR Biderman, T Oates, J Holt
International Conference on Artificial Intelligence and Statistics, 4042-4050, 2024
12024
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
E Raff, J Holt
Advances in Neural Information Processing Systems 36, 2024
12024
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers
RJ Joyce, E Raff, C Nicholas, J Holt
arXiv preprint arXiv:2310.11706, 2023
12023
Marvolo: Programmatic Data Augmentation for Deep Malware Detection
M Wong, E Raff, J Holt, R Netravali
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
12023
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?
AT Nguyen, R Zak, LE Richards, M Fuchs, F Lu, R Brandon, GL Munoz, ...
12022
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