The UMBC Cyber Defense Lab presents Thinking Like an Attacker: Towards a Definition and Non-Technical Assessment of Adversarial Thinking Prof. Peter A. H. Peterson Department...
The UMBC Cyber Defense Lab presents Thinking Like an Attacker: Towards a Definition and Non-Technical Assessment of Adversarial Thinking Prof. Peter A. H. Peterson Department of Computer...
The UMBC Cyber Defense Lab presents MeetingMayhem: Teaching Adversarial Thinking through a Web-Based Game Akriti Anand, Richard Baldwin, Sudha, Kosuri, Julie Nau, and Ryan Wunk-Fink UMBC...
Enabling Computation, Control, and Customization of Materials with Digital Fabrication Processes Michael Rivera, Carnegie Mellon University 1:00-2:00 pm Wednesday, 31 March 2022 via WebEx...
Forward and Inverse Causal Inference in a Tensor Framework M. Alex O. Vasilescu Institute of Pure and Applied Mathematics, UCLA 1-2:00 pm Monday, March 29, 2021 via WebEx Developing causal...
The UMBC Cyber Defense Lab presents Transparent Dishonesty: Front-Running Attacks on Blockchain Professor Jeremy Clark Concordia Institute for Information Systems Engineering Concordia...
24 hour LIDAR backscatter profiles and PBLH points generated from image machine learning system The Infusion of Machine Learning as a New Methodology for the Physical and Social Sciences Dr....
TIPPERS is an IoT data management middleware system developed at UCI that manages IoT smart spaces by collecting sensor data, inferring semantically meaningful information, and providing...
The UMBC Cyber Defense Lab presents EIPC: Efficient Asynchronous BFT with Adaptive Security Chao Liu, CSEE, UMBC 12:00–1:00 pm ET, Friday, 12 March 2021 via WebEx We present EPIC, a novel...
Prof. Chein-I Chang honored by journal special issue dedication CSEE Professor Chein-I Chang was recently honored by the IEEE Journal of Selected Topics in Applied Earth Observations and Remote...