Jared Sylvester

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 17

Top Topics

Malware Detection

Malicious Executables

Steepest Ascent

Top Venues

J. Comput. Virol. Hacking Tech.

Publications

Jared Sylvester, Edward Raff
Trimming the Thorns of AI Fairness Research. IEEE Data Eng. Bull. 43 (4) (2020)
Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean
Barrage of Random Transforms for Adversarially Robust Defense. CVPR (2019)
Edward Raff, Jared Sylvester, Charles Nicholas
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CoRR (2018)
Edward Raff, Jared Sylvester
Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. DSAA (2018)
Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas
An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. 14 (1) (2018)
Jared Sylvester, Edward Raff
What About Applied Fairness? CoRR (2018)
Edward Raff, Jared Sylvester, Steven Mills
Fair Forests: Regularized Tree Induction to Minimize Model Bias. AIES (2018)
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
Malware Detection by Eating a Whole EXE. AAAI Workshops (2018)
William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean
Non-Negative Networks Against Adversarial Attacks. CoRR (2018)
Edward Raff, Jared Sylvester, Charles Nicholas
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CIKM (2018)
Edward Raff, Booz Allen Hamilton, Jared Sylvester
Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme. IEEE BigData (2018)
Edward Raff, Jared Sylvester
Gradient Reversal Against Discrimination. CoRR (2018)
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
Malware Detection by Eating a Whole EXE. CoRR (2017)
Edward Raff, Jared Sylvester, Steven Mills
Fair Forests: Regularized Tree Induction to Minimize Model Bias. CoRR (2017)
Edward Raff, Jared Sylvester, Charles Nicholas
Learning the PE Header, Malware Detection with Minimal Domain Knowledge. AISec@CCS (2017)
Edward Raff, Jared Sylvester, Charles K. Nicholas
Learning the PE Header, Malware Detection with Minimal Domain Knowledge. CoRR (2017)
Jared Sylvester, James A. Reggia
Engineering neural systems for high-level problem solving. Neural Networks 79 (2016)
David Darmon, Jared Sylvester, Michelle Girvan, William Rand
Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. SocialCom (2013)
David Darmon, Jared Sylvester, Michelle Girvan, William Rand
Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling. CoRR (2013)
Jared Sylvester, James A. Reggia, Scott A. Weems
Cognitive control as a gated cortical net. BICA (2011)
Jared Sylvester, James A. Reggia
Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps. Neural Comput. 21 (12) (2009)
James A. Reggia, Jared Sylvester, Scott A. Weems, Michael F. Bunting
A Simple Oscillatory Short-Term Memory. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Nitesh V. Chawla, Jared Sylvester
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets. MCS (2007)
Jared Sylvester, Nitesh V. Chawla
Evolutionary Ensemble Creation and Thinning. IJCNN (2006)