Intelligence Fusion Laboratory
Electrical and Computer Engineering | George Mason University & Clarkson University
News about the lab’s conference attendance.
– One Papers is accepted by the 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019.
“Interpreting and Evaluating Neural Network Robustness”
– Two Papers are accepted by the 28th ACM SigKDD Conference on Knowledge Discovery and Data Mining
(KDD) 2019.
“Deep Learning Alternating Direction Method of Multipliers” is accepted as a regular paper,
“DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks” is accepted as a workshop paper for the Workshop on Artificial Intelligence of Things hosted by the Microsoft Research.
– Two Papers are accepted by the 56th Design Automation Conference
(DAC) 2019.
“ReForm: Static and Dynamic Resource- Aware DNN Reconfiguration Framework for Mobile Devices”
“MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping”
– Zhuwei Qin attended the 24th Asia and South Pacific Design Automation Conference
(ASP-DAC) 2019 at Seoul, South Korea.
– Zhuwei presented three papers:
“HAMPER: High-Performance Adaptive Mobile Security Enhancement against Malicious Speech and Image Recognition”
“REIN: A Robust Training Method for Enhancing Generalization Ability of Neural Networks in Autonomous Driving Systems”
“CAPTOR: A Class Adaptive Filter Pruning Framework for Convolutional Neural Networks in Mobile Applications”
– Fuxun Yu attended the 32nd Conference on Neural Information Processing Systems, Workshop on Compact Deep Neural Networks with Industrial Applications (NeurIPS CDNNIA) 2018 at Montreal, Canada.
– Fuxun Yu presented two papers:
“Demystifying Neural Network Filter Pruning”
“Distilling Critical Paths in Convolutional Neural Networks”
– Two Papers are accepted by the 32nd Conference on Neural Information Processing Systems, Workshop on Compact Deep Neural Networks with Industrial Applications (NeurIPS CDNNIA) 2018.
“Demystifying Neural Network Filter Pruning”
“Distilling Critical Paths in Convolutional Neural Networks”
– Dr. Chen attended the NSF Internet of Things (IoT) Workshops hosted by Dr. Wolf (ICCAD) at San Diego CA.
– Dr. Chen presented the talk “Interpretation, Evaluation, and Enhancement of Neural Network Robustness”.
– Dr. Chen attended the NSF CNS PI Meeting and the ACM/IEEE Symposium on Edge Computing (SEC) 2018 at Seattle WA.
– Dr. Chen presented the talk “DSecurity of Machine Learning in Mobile System”.
– Three Papers are accepted by the 24th Asia and South Pacific Design Automation Conference
(ASP-DAC) 2019.
“HAMPER: High-Performance Adaptive Mobile Security Enhancement against Malicious Speech and Image Recognition”
“REIN: A Robust Training Method for Enhancing Generalization Ability of Neural Networks in Autonomous Driving Systems”
“CAPTOR: A Class Adaptive Filter Pruning Framework for Convolutional Neural Networks in Mobile Applications”
