Ryan Wickman

AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning

With the growing use of machine learning algorithms and ubiquitous sensors, many ‘perception-to-control’ systems are being developed and deployed. To ensure their trustworthiness, improving their robustness through adversarial training is one potential approach. We propose a gradient-free adversaria…