222 citations · 266 across the 7 of their papers we have counts for
4 papers · 1 filter
RePr: Improved Training of Convolutional Filters
Aaditya Prakash, James Storer, Dinei Florencio +1
A well-trained Convolutional Neural Network can easily be pruned without significant loss of performance. This is because of unnecessary overlap in the features captured by the net…
Protecting JPEG Images Against Adversarial Attacks
Aaditya Prakash, Nick Moran, Solomon Garber +2
As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed. These adversarial attacks make imperceptible…
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
Reza Ghaeini, Sadid A. Hasan, Vivek Datla +7
We present a novel deep learning architecture to address the natural language inference (NLI) task. Existing approaches mostly rely on simple reading mechanisms for independent enc…
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya Prakash, Nick Moran, Solomon Garber +2
CNNs are poised to become integral parts of many critical systems. Despite their robustness to natural variations, image pixel values can be manipulated, via small, carefully craft…