Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Authors: Zhiguang Wang, Tim Oates, James Lo | Published: 2015-06-08 | Updated: 2016-06-09
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Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Authors: Yarin Gal, Zoubin Ghahramani | Published: 2015-06-06 | Updated: 2016-10-04
A Deeper Look at Dataset Bias
Authors: Tatiana Tommasi, Novi Patricia, Barbara Caputo, Tinne Tuytelaars | Published: 2015-05-06
Spectral Norm of Random Kernel Matrices with Applications to Privacy
Authors: Shiva Prasad Kasiviswanathan, Mark Rudelson | Published: 2015-04-22
Detection of Information leakage in cloud
Authors: Mansaf Alam, Shuchi Sethi | Published: 2015-04-14 | Updated: 2015-11-06
Consensus based Detection in the Presence of Data Falsification Attacks
Authors: Bhavya Kailkhura, Swastik Brahma, Pramod K. Varshney | Published: 2015-04-14
Machine Learning Methods for Attack Detection in the Smart Grid
Authors: Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor | Published: 2015-03-22
Automated detection and classification of cryptographic algorithms in binary programs through machine learning
Authors: Diane Duros Hosfelt | Published: 2015-03-04
Detecting Malware with Information Complexity
Authors: Nadia Alshahwan, Earl T. Barr, David Clark, George Danezis | Published: 2015-02-26
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle
Authors: Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg | Published: 2015-02-23 | Updated: 2016-04-27