1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2018
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers
Yujia Wang, David J. Miller, George Kesidis
This paper addresses detection of a reverse engineering (RE) attack targeting a deep neural network (DNN) image classifier; by querying, RE's aim is to discover the classifier's de…
cs.LG2017
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
David J. Miller, Yulia Wang, George Kesidis
A significant threat to the recent, wide deployment of machine learning-based systems, including deep neural networks (DNNs), is adversarial learning attacks. We analyze possible t…
cs.PF2017★ 1 cited
Scheduling Distributed Resources in Heterogeneous Private Clouds
George Kesidis, Yuquan Shan, Yujia Wang +3
We first consider the static problem of allocating resources to ( i.e. , scheduling) multiple distributed application framework s, possibly with different priorities and server pre…