222 citations · 266 across the 7 of their papers we have counts for
4 papers · 1 filter
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed, Dinkar Juyal, Harshith Padigela +3
Multiple Instance Learning (MIL) has been widely applied in pathology towards solving critical problems such as automating cancer diagnosis and grading, predicting patient prognosi…
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…
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…