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Ethan M. Rudd

Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface

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Jan 29, 2023
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Transformers for End-to-End InfoSec Tasks: A Feasibility Study

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Dec 05, 2022
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Efficient Malware Analysis Using Metric Embeddings

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Dec 05, 2022
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Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction

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Nov 05, 2020
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Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection

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May 16, 2019
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SMART: Semantic Malware Attribute Relevance Tagging

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May 15, 2019
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ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation

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Mar 13, 2019
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Principled Uncertainty Estimation for Deep Neural Networks

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Oct 29, 2018
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Facial Attributes: Accuracy and Adversarial Robustness

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Apr 20, 2018
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The Extreme Value Machine

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May 21, 2017
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