4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2021
On the (Un-)Avoidability of Adversarial Examples
Sadia Chowdhury, Ruth Urner
The phenomenon of adversarial examples in deep learning models has caused substantial concern over their reliability. While many deep neural networks have shown impressive performa…
cs.LG2015★ 4 cited
Efficient Learning of Linear Separators under Bounded Noise
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab +1
We study the learnability of linear separators in in the presence of bounded (a.k.a Massart) noise. This is a realistic generalization of the random classification noise mo…