75 citations · 143 across the 9 of their papers we have counts for
4 papers · 1 filter
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks
Tegjyot Singh Sethi, Mehmed Kantardzic, Joung Woo Ryu
The increasing scale and sophistication of cyberattacks has led to the adoption of machine learning based classification techniques, at the core of cybersecurity systems. These tec…
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua +1
Operating in a dynamic real world environment requires a forward thinking and adversarial aware design for classifiers, beyond fitting the model to the training data. In such scena…
Handling Adversarial Concept Drift in Streaming Data
Tegjyot Singh Sethi, Mehmed Kantardzic
Classifiers operating in a dynamic, real world environment, are vulnerable to adversarial activity, which causes the data distribution to change over time. These changes are tradit…
Submodular Optimization for Efficient Semi-supervised Support Vector Machines
Wael Emara, Mehmed Kantardzic
In this work we present a quadratic programming approximation of the Semi-Supervised Support Vector Machine (S3VM) problem, namely approximate QP-S3VM, that can be efficiently solv…