[UCI-Calit2] CS Seminar Series: Two Talks this Friday 2/22

[Anna Lynn Spitzer]

On Friday, the Computer Science Seminar Series will host two talks: the
first is 11 a.m.-noon in Donald Bren Hall, Room 6011; the other is
1:30-2:30 p.m. in Donald Bren Hall, Room 3011. 

 


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Morning CS Seminar Series Talk
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Title:                  User Intention-Based Anomaly Detection 

Speaker:             Danfeng (Daphne) Yao, Virginia Tech

 

Time:                  11 a.m.-noon


Date:                  Friday, Feb. 22, 2013

 

Location:            DBH, Room 6011

Abstract:            The proliferation and sophistication of malware
(malicious software) activities -- as well as their growing capacity to
do serious harm -- requires constant vigilance and upgrading. We aim to
develop anomaly detection solutions that can identify suspicious network
and system activities. Specifically, we focus on identifying
characteristic human-user behaviors (namely application-level user
inputs via keyboard and mouse), developing protocols for analyzing
inputs and system calls, and preventing forgeries and attacks by
malware. The talk will also describe our recent work on DNS-based bonnet
command and control. 

Speaker:             Daphne Yao is an assistant professor of computer
science at Virginia Tech. She received her Ph.D. degree from Brown
University in 2007; her research is on network and system security,
malware detection and applied cryptography. She was awarded the NSF
CAREER award for her human behavior-inspired malware detection work, and
has three Best Paper Awards on her malware detection and data-leak
prevention technologies. Yao, who has more than 45 peer-reviewed
publications, was named Outstanding New Assistant Professor by Virginia
Tech College of Engineering in 2012. 

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Afternoon CS Seminar Series Talk (joint with iGravi)
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Title:                  Don't Believe Anything You See: Modern Digital
Photography and the Camera Imaging Pipeline


Speaker:             Michael S. Brown, National University of Singapore

Time:                  1:30-2:30 p.m.

Date:                  Friday, Feb. 22, 2013

 

Location:            DBH, Room 3011 (***NOT 6011***)


Abstract:            Modern digital photography is not about capturing
faithful recordings of the light rays that enter a camera -- it is about
producing perceptually optimal images. This begs the question: can
camera image values be transformed to physically meaningful values, and
if so, when and how this can be done? From our analysis of over 10,000
images captured from 33 different camera makes and models, we have
developed a new in-camera imaging model that can accurately describe how
a camera maps light measures (i.e. RAW sensor responses) to the final
standard RGB color output (sRGB) under various settings, including
white-balance and picture styles (e.g. landscape, portrait, etc).
Additionally, we show how this new imaging model can be used to build an
image-correction application that converts an sRGB input image captured
with the wrong camera settings to an sRGB output image that would have
been recorded under the correct settings of a specific camera.

Speaker:             Michael S. Brown is an associate professor and
assistant dean in the School of Computing at the National University of
Singapore. Brown is an associate editor for the IEEE Transactions on
Pattern Analysis and Machine Intelligence (TPAMI) and regularly serves
as an area chair for the major computer vision conferences (ICCV, CVPR,
ECCV and ACCV). His research interests include computer vision, image
processing and computer graphics.  More information is available at:
www.comp.nus.edu.sg/~brown <http://www.comp.nus.edu.sg/~brown> .


*Please click the link below to view the incoming talks in the CS
Seminar Series:
http://www.cs.uci.edu/research/seminarseries/
<http://www.cs.uci.edu/research/seminarseries/> 





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