11 citations · 35 across the 8 of their papers we have counts for
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cs.CV2021
Scaled-Time-Attention Robust Edge Network
Richard Lau, Lihan Yao, Todd Huster +6
This paper describes a systematic approach towards building a new family of neural networks based on a delay-loop version of a reservoir neural network. The resulting architecture,…
cs.LG2021★ 11 cited
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation
Todd Huster, Emmanuel Ekwedike
Deep neural networks (DNNs) are vulnerable to "backdoor" poisoning attacks, in which an adversary implants a secret trigger into an otherwise normally functioning model. Detection…
cs.LG2021★ 2 cited
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy E. J. Cohen, Zinan Lin +5
Generative adversarial networks (GANs) are often billed as "universal distribution learners", but precisely what distributions they can represent and learn is still an open questio…