research
∙
01/30/2023
Benchmarking Robustness to Adversarial Image Obfuscations
Automated content filtering and moderation is an important tool that all...
share
research
∙
11/09/2021
Data Augmentation Can Improve Robustness
Adversarial training suffers from robust overfitting, a phenomenon where...
research
∙
10/21/2021
A Fine-Grained Analysis on Distribution Shift
Robustness to distribution shifts is critical for deploying machine lear...
research
∙
10/18/2021
Improving Robustness using Generated Data
Recent work argues that robust training requires substantially larger da...
research
∙
04/02/2021
Defending Against Image Corruptions Through Adversarial Augmentations
Modern neural networks excel at image classification, yet they remain vu...
research
∙
03/02/2021
Fixing Data Augmentation to Improve Adversarial Robustness
Adversarial training suffers from robust overfitting, a phenomenon where...
research
∙
02/23/2018
Efficient Neural Audio Synthesis
Sequential models achieve state-of-the-art results in audio, visual and ...
research
∙
12/01/2017
Wavenet based low rate speech coding
Traditional parametric coding of speech facilitates low rate but provide...
research
∙
11/28/2017