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ML
2010
ACM
155views Machine Learning» more  ML 2010»
14 years 11 months ago
On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems
Current trends demonstrate an increasing use of polymorphism by attackers to disguise their exploits. The ability for malicious code to be easily, and automatically, transformed in...
Yingbo Song, Michael E. Locasto, Angelos Stavrou, ...
CVPR
2011
IEEE
14 years 8 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
91
Voted
WWW
2007
ACM
16 years 1 months ago
Learning information diffusion process on the web
Many text documents on the Web are not originally created but forwarded or copied from other source documents. The phenomenon of document forwarding or transmission between variou...
Xiaojun Wan, Jianwu Yang
100
Voted
ICS
2010
Tsinghua U.
15 years 10 months ago
Robustness of the Learning with Errors Assumption
: Starting with the work of Ishai-Sahai-Wagner and Micali-Reyzin, a new goal has been set within the theory of cryptography community, to design cryptographic primitives that are s...
Shafi Goldwasser, Yael Kalai, Chris Peikert, Vinod...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 9 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...