187 citations · 187 across the 3 of their papers we have counts for
4 papers
Most Convolutional Networks Suffer from Small Adversarial Perturbations
Amit Daniely, Idan Mehalel
The existence of adversarial examples is relatively understood for random fully connected neural networks, but much less so for convolutional neural networks (CNNs). The recent wor…
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on
Amit Daniely
We show that adversarial examples exist for various random convolutional networks, and furthermore, that this is a relatively simple consequence of the isoperimetric inequality on…
Online Learning of Neural Networks
Amit Daniely, Idan Mehalel, Elchanan Mossel
We study online learning of feedforward neural networks with the sign activation function that implement functions from the unit ball in to a finite label set $\{1,…
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
We develop a general duality between neural networks and compositional kernels, striving towards a better understanding of deep learning. We show that initial representations gener…