Colloquium

Can We Make Real World Software More Secure?

Abstract

Security is crucial to the software that we all develop and use. With the incredible growth of web, cloud, and mobile services, security is becoming even more critical. Typical security practices, such as securing your network and using software assurance tools -- tools that scan the source or binary code of a program to find weaknesses -- are your first line of defense, but they are not enough.

Where the Wild Things Are (an Internet Safari)

Abstract

It's a jungle out there: lots of places and ways to attack and hide on the Internet, if you're a Bad Guy. This talk will discuss a bunch of them. One interesting aspect of the technologies involved is that they weren't created by the Bad Guys, but by well-meaning people -- you use them every day -- but the Bad Guys are happy to take full advantage.

Among the technologies to be discussed are:

Quantum Computing and the Limits of the Efficiently Computable

Note: This is a public talk open to the general audience. Refreshments will be served prior to the event starting at 17:45

Abstract

I'll discuss how computational complexity — the study of what can and can't be feasibly computed — has been interacting with physics in interesting and unexpected ways. This will include a crash course about quantum mechanics and the capabilities and limits of quantum computers. I'll also touch on speculative models of computation that would go even beyond quantum computers.

Efficient Human-in-the-loop Statistical Relational Learning

Abstract

Statistical Relational Learning (SRL) Models combine the powerful formalisms of probability theory and first-order logic to handle uncertainty in large, complex problems. While they provide a very effective representation paradigm due to their succinctness and parameter sharing, efficient learning is a significant problem in these models. First, I will discuss state-of-the-art learning method based on boosting that is representation independent. Our results demonstrate that learning multiple weak models can lead to a dramatic improvement in accuracy and efficiency.

Directed Research Project Presentations

Abstract

The first milestone in the CIS Ph.D. program is the Directed Research Project (DRP). Each student must complete this milestone within their first two years in the program. Typically, students devote the summer after their first year in the program exclusively to their research projects. In this colloquium, seven of our Department's Ph.D. students will present summaries on the progress on their DRPs over this past summer.

Faculty Research Topics

Abstract

This week we continue our introduction to faculty research topics. We encourage all faculty members and PhD students to attend and hope these presentations help students meet faculty members and get exposed to the full range of the research portfolio in our department. We feature the following three speakers this week:

Presentation #1: "Research Overview for CDUX: Computing and Data Understanding at eXtreme Scale" by Associate Professor Hank Childs

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