Jacob Harer

According to our database, Jacob Harer authored at least 11 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Countering Physical Eavesdropper Evasion with Adversarial Training.

Kyle W. McClintick, Jacob Harer, Bryse Flowers, William C. Headley, Alexander M. Wyglinski

IEEE Open J. Commun. Soc., 2022

2020

NodeDrop: A Method for Finding Sufficient Network Architecture Size.

Louis Jensen, Jacob Harer, Sang Chin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Improved neural machine translation systems for low resource correction tasks

Jacob Harer

PhD thesis, 2019

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

Jacob Harer, Christopher P. Reale, Peter Chin

CoRR, 2019

NodeDrop: A Condition for Reducing Network Size without Effect on Output.

Louis Jensen, Jacob Harer, Sang Chin

CoRR, 2019

Deep Learning for Minimal-context Block Tracking through Side-channel Analysis.

L. Jensen, G. Brown, Xiao Wang, Jacob Harer, S. Chin

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Automated software vulnerability detection with machine learning.

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, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich

CoRR, 2018

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Automated Vulnerability Detection in Source Code Using Deep Representation Learning.

Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

A Mathematical Analysis of Network Controllability Through Driver Nodes.

Sang Peter Chin, Jonathan Cohen, Alison Albin, Mykola Hayvanovych, Elizabeth Reilly, Gavin Brown, Jacob Harer

IEEE Trans. Comput. Soc. Syst., 2017

2016

Predicting local field potentials with recurrent neural networks.

Louis Y. Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D. Parks, Alik Widge, Emad N. Eskandar, Darin D. Dougherty, Sang (Peter) Chin

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016