Exploring Adversarial Examples in Malware Detection

no code implementations • 18 Oct 2018 • Octavian Suciu, Scott E. Coull, Jeffrey Johns

By training an existing model on a production-scale dataset, we show that some previous attacks are less effective than initially reported, while simultaneously highlighting architectural weaknesses that facilitate new attack strategies for malware classification.

Feature Engineering General Classification +1

Linear Complementarity for Regularized Policy Evaluation and Improvement

no code implementations • NeurIPS 2010 • Jeffrey Johns, Christopher Painter-Wakefield, Ronald Parr

We demonstrate that warm starts, as well as the efficiency of LCP solvers, can speed up policy iteration.

feature selection Reinforcement Learning (RL)