11 citations · 20 across the 4 of their papers we have counts for
5 papers
Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning
Ibrahim Yilmaz, Kavish Kapoor, Ambareen Siraj +1
Utilities around the world are reported to invest a total of around 30 billion over the next few years for installation of more than 300 million smart meters, replacing traditional…
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
Ibrahim Yilmaz, Ambareen Siraj, Denis Ulybyshev
Domain Generation Algorithms (DGAs) are used by adversaries to establish Command and Control (C\&C) server communications during cyber attacks. Blacklists of known/identified C\&C…
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning
ibrahim Yilmaz, Ambareen Siraj
More and more conventional electromechanical meters are being replaced with smart meters because of their substantial benefits such as providing faster bi-directional communication…
Practical Fast Gradient Sign Attack against Mammographic Image Classifier
Ibrahim Yilmaz
Artificial intelligence (AI) has been a topic of major research for many years. Especially, with the emergence of deep neural network (DNN), these studies have been tremendously su…
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
Ibrahim Yilmaz, Rahat Masum
Machine learning techniques help to understand patterns of a dataset to create a defense mechanism against cyber attacks. However, it is difficult to construct a theoretical model…