Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
In this paper, we present a system that automates home video editing. This system automatically extracts a set of highlight segments from a set of raw home videos and aligns them ...
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...
In this paper, we present a new attack on RSA when the public exponent is short, for instance 3 or 216 +1, and when the classical exponent randomization is used. This attack works ...
A central problem in music information retrieval is finding suitable representations which enable efficient and accurate computation of musical similarity and identity. Low leve...