11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 11 cited
Adversarial Examples on Object Recognition: A Comprehensive Survey
Alex Serban, Erik Poll, Joost Visser
Deep neural networks are at the forefront of machine learning research. However, despite achieving impressive performance on complex tasks, they can be very sensitive: Small pertur…
cs.LG2020
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Alex Serban, Erik Poll, Joost Visser
Sensitivity to adversarial noise hinders deployment of machine learning algorithms in security-critical applications. Although many adversarial defenses have been proposed, robustn…
cs.SE2020
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
Alex Serban, Erik Poll, Joost Visser
The adoption of machine learning (ML) components in software systems raises new engineering challenges. In particular, the inherent uncertainty regarding functional suitability and…