In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones duri...
Abstract. Software flaws in applications such as a browser may be exploited by attackers to launch drive-by-download (DBD), which has become the major vector of malware infection....
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
The automatic detection of near duplicate video segments, such as multiple takes of a scene or different news video clips showing the same event, has received growing research int...
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...