Combinatorial filters have been the subject of increasing interest from the robotics community in recent years. This paper considers automatic reduction of combinatorial filters to a given size, even if that reduction necessitates changes to the filter’s behavior. We introduce an algorithmic problem called improper filter reduction, in which the input is a combinatorial filter F along with an i...

The number of reported web application vulnerabilities is increasing dramatically. The most of vulnerabilities result from improper input validation. This paper presents extensions to the Tainted Mode model which allows intermodule vulnerabilities detection. Besides, this paper presents a new approach to vulnerability analysis which incorporates advantages of penetration testing and dynamic ana...

Neural networks have recently re-emerged as a powerful hypothesis class, yielding impressive classification accuracy in multiple domains. However, their training is a non-convex optimization problem which poses theoretical and practical challenges. Here we address this difficulty by turning to “improper” learning of neural nets. In other words, we learn a classifier that is not a neural net but...

It is important to diagnose and treat diseases of the aortic valve. Untreated aortic valve disease can eventually result in heart failure, severe infection, and even sudden death. Some patients present with severe symptoms, whereas others have few, if any symptoms. The diagnosis may be made on a routine physical examination. Regular medical follow-up, treatment to prevent infection of the valve...