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01/29/2023
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface
Brain Computer Interface (BCI) technologies have the potential to improv...
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12/05/2022
Efficient Malware Analysis Using Metric Embeddings
In this paper, we explore the use of metric learning to embed Windows PE...
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12/14/2020
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
In this paper we describe the SOREL-20M (Sophos/ReversingLabs-20 Million...
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11/05/2020
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction
Machine Learning (ML) for information security (InfoSec) utilizes distin...
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05/16/2019
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
Machine learning (ML) used for static portable executable (PE) malware d...
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05/15/2019
SMART: Semantic Malware Attribute Relevance Tagging
With the rapid proliferation and increased sophistication of malicious s...
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03/13/2019
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation
Malware detection is a popular application of Machine Learning for Infor...
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10/29/2018
Principled Uncertainty Estimation for Deep Neural Networks
When the cost of misclassifying a sample is high, it is useful to have a...
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04/22/2018
MEADE: Towards a Malicious Email Attachment Detection Engine
Malicious email attachments are a growing delivery vector for malware. W...
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01/04/2018
Facial Attributes: Accuracy and Adversarial Robustness
Facial attributes, emerging soft biometrics, must be automatically and r...
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05/03/2017
Toward Open-Set Face Recognition
Much research has been conducted on both face identification and face ve...
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10/21/2016
Automated Big Text Security Classification
In recent years, traditional cybersecurity safeguards have proven ineffe...
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03/19/2016