PPT-CS548 Fall 2016 Anomaly Detection

Author : natalia-silvester | Published Date : 2018-10-22

Showcase by Nichole Etienne Rohitpal Singh Suchithra Balakrishnan Yousef Fadila Showcasing work by Bowen Du Chuaren Liu Wenjun Zhou Zhenshan Hou Hui Xiong on

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CS548 Fall 2016 Anomaly Detection: Transcript

Showcase by Nichole Etienne Rohitpal Singh Suchithra Balakrishnan Yousef Fadila Showcasing work by Bowen Du Chuaren Liu Wenjun Zhou Zhenshan Hou Hui Xiong on Catch Me If You Can Detecting Pickpocket Suspects from LargeScale Transit Records. -. Traffic Video Surveillance. Ziming. Zhang, . Yucheng. Zhao and . Yiwen. Wan. Outline. Introduction. &Motivation. Problem Statement. Paper Summeries. Discussion and Conclusions. What are . Anomalies?. Introduction and Use Cases. Derick . Winkworth. , Ed Henry and David Meyer. Agenda. Introduction and a Bit of History. So What Are Anomalies?. Anomaly Detection Schemes. Use Cases. Current Events. Q&A. Machine Learning . Techniques. www.aquaticinformatics.com | . 1. Touraj. . Farahmand. - . Aquatic Informatics Inc. . Kevin Swersky - . Aquatic Informatics Inc. . Nando. de . Freitas. - . Department of Computer Science – Machine Learning University of British Columbia (UBC) . Jimeng. Sun, . Huiming. . Qu. , . Deepayan. . Chakrabarti. & Christos . Faloutsos. Presented By. Bhavana. . Dalvi. Outline. Motivation. Problem Definition. Neighborhood formation. Anomaly detection. Anomaly-based . Network Intrusion . Detection (A-NIDS). by Nitish Bahadur, Gulsher Kooner, . Caitlin Kuhlman. 1. PALANTIR CYBER An End-to-End Cyber Intelligence Platform for Analysis & Knowledge Management [Online]. Available: . &. Intrusion . Detection Systems. 1. Intruders. Three classes of intruders:. Examples of Intrusion. Performing a remote root compromise of an e-mail server. Defacing a Web server. Guessing and cracking passwords. Vishwanath Saragadam . , Jian Wang, . Xin Li, . Aswin. . Sankaranarayanan. 1. Hyperspectral images. Information as a function of space and wavelength. Wavelength. Space. Data from . SpecTIR. 2. . 400nm. Presented . by. Jeff . Bibeau. , Max Levine, . Jie. . Gao. Showcasing Work . by. . Milos . Hauskrecht. , . Iyad. . Batal. , Michal . Valko. , . Shyam. . Visweswaran. ,. Gregory F. Cooper, Gilles Clermont.. On-Orbit Anomaly Research. NASA IV&V Facility. Fairmont, WV, USA. 2013 Annual Workshop on Independent Verification & Validation of Software. Fairmont, WV, USA. September 10-12, 2013. Agenda. September 10, 2013. Showcase by . Abhishek Shah, Mahdi Alouane. , Marie Solman. , Satishraju Rajendran and Eno-Obong Inyang. . Showcasing work by Cai Lile, Li Yiqun On. . ANOMALY DETECTION IN THERMAL IMAGES USING DEEP NEURAL NETWORKS. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless. . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. Authors. Bo Sun, Fei Yu, Kui Wu, Yang Xiao, and Victor C. M. Leung.. . Presented by . Aniruddha Barapatre. Introduction. Importance of Cellular phones.. Due to the open radio transmission environment and the physical vulnerability of mobile devices , . Hierarchical Temporal Memory (and LSTM). Jaime Coello de Portugal. Many thanks to . Jochem. . Snuverink. Motivation. Global outlier. Level change. Pattern deviation. Pattern change. Plots from: Ted . Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly.

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