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researcher

Matthew Burlick

2 papers hereh-index 220 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAdversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components

9 citations · 17 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 8 cited

Towards Evaluating Driver Fatigue with Robust Deep Learning Models

Ken Alparslan, Yigit Alparslan, Matthew Burlick

In this paper, we explore different deep learning based approaches to detect driver fatigue. Drowsy driving results in approximately 72,000 crashes and 44,000 injuries every year i…

cs.LG2020★ 9 cited

Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components

Ken Alparslan, Yigit Alparslan, Matthew Burlick

Adversarial attacks are inputs that are similar to original inputs but altered on purpose. Speech-to-text neural networks that are widely used today are prone to misclassify advers…

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