58 citations · 178 across the 12 of their papers we have counts for
3 papers · 1 filter
Analysis of Random Perturbations for Robust Convolutional Neural Networks
Adam Dziedzic, Sanjay Krishnan
Recent work has extensively shown that randomized perturbations of neural networks can improve robustness to adversarial attacks. The literature is, however, lacking a detailed com…
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
Rui Liu, Sanjay Krishnan, Aaron J. Elmore +1
As neural networks are increasingly employed in machine learning practice, how to efficiently share limited training resources among a diverse set of model training tasks becomes a…
Band-limited Training and Inference for Convolutional Neural Networks
Adam Dziedzic, John Paparrizos, Sanjay Krishnan +2
The convolutional layers are core building blocks of neural network architectures. In general, a convolutional filter applies to the entire frequency spectrum of the input data. We…