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GymFG: A Framework with a Gym Interface for FlightGear

Apr 26, 2020
Andrew Wood, Ali Sydney, Peter Chin, Bishal Thapa, Ryan Ross


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Reinforcement Learning in FlipIt

Feb 28, 2020
Laura Greige, Peter Chin

* 10 pages, 7 figures 

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AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks

Feb 19, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) 

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Block Switching: A Stochastic Approach for Deep Learning Security

Feb 18, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by AdvML19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD, Anchorage, Alaska, USA, August 5th, 2019, 5 pages 

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Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses

Aug 20, 2019
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin

* Published as Conference Paper @ IJCAI 2019 

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Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data

Aug 01, 2019
Jacob Harer, Chris Reale, Peter Chin


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Learning to Repair Software Vulnerabilities with Generative Adversarial Networks

Oct 28, 2018
Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin

* Presented at 32nd Conference on Neural Information Processing Systems (nips 2018), Montreal Canada 

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Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks

Sep 13, 2018
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David Kaeli, Peter Chin, Xue Lin

* Accepted as conference paper on ICCAD 2018 

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Automated software vulnerability detection with machine learning

Aug 02, 2018
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Erik Antelman, Alan Mackay, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich


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