3 papers
cs.LG2026
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…
cs.LG2025
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…
stat.ML2025
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,…