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20202026
most citedLocal Competition and Uncertainty for Adversarial Robustness in Deep Learning

1 citations · 2 across the 7 of their papers we have counts for

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cs.LG2021

Structured Stochastic Gradient MCMC

Antonios Alexos, Alex Boyd, Stephan Mandt

Stochastic gradient Markov Chain Monte Carlo (SGMCMC) is considered the gold standard for Bayesian inference in large-scale models, such as Bayesian neural networks. Since practiti…

cs.LG2021★ 1 cited

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning

Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos +1

This work addresses adversarial robustness in deep learning by considering deep networks with stochastic local winner-takes-all (LWTA) activations. This type of network units resul…