Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Code sandboxing is useful for many purposes, but most sandboxing techniques require kernel modifications, do not completely isolate guest code, or incur substantial performance co...
This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
Understanding the data structures in a program is crucial to understanding how the program works, or why it doesn't work. Inspecting the code that implements the data structu...
Edward Aftandilian, Sean Kelley, Connor Gramazio, ...
In this paper we propose a real-time anomaly detection method for detecting TCP SYN-flooding attacks. This method is based on the intensities of SYN segments which are measured on...