363 citations · 559 across the 15 of their papers we have counts for
4 papers · 1 filter
Optimal Mini-Batch Size Selection for Fast Gradient Descent
Michael P. Perrone, Haidar Khan, Changhoan Kim +3
This paper presents a methodology for selecting the mini-batch size that minimizes Stochastic Gradient Descent (SGD) learning time for single and multiple learner problems. By deco…
Deep density ratio estimation for change point detection
Haidar Khan, Lara Marcuse, Bülent Yener
In this work, we propose new objective functions to train deep neural network based density ratio estimators and apply it to a change point detection problem. Existing methods use…
Thwarting finite difference adversarial attacks with output randomization
Haidar Khan, Daniel Park, Azer Khan +1
Adversarial examples pose a threat to deep neural network models in a variety of scenarios, from settings where the adversary has complete knowledge of the model and to the opposit…
Generation & Evaluation of Adversarial Examples for Malware Obfuscation
Daniel Park, Haidar Khan, Bülent Yener
There has been an increased interest in the application of convolutional neural networks for image based malware classification, but the susceptibility of neural networks to advers…