Razvan Benchea

Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification

Henri Luchian, Razvan Benchea, Dragos Gavrilut, 2015, EVOLVE.

Feature Extraction Using Genetic Programming with Applications in Malware Detection

Henri Luchian, Razvan Benchea, Dragos Gavrilut, 2015, 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Optimized Zero False Positives Perceptron Training for Malware Detection

Razvan Benchea, Dragos Gavrilut, Cristina Vatamanu, 2012, 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Identifying DGA-Based Botnets Using Network Anomaly Detection

Razvan Benchea, Dragos Gavrilut, George Popoiu, 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

A practical approach on clustering malicious PDF documents

Razvan Benchea, Dragos Gavrilut, Cristina Vatamanu, 2012, Journal in Computer Virology.

Methods for Training Neural Networks with Zero False Positives for Malware Detection

Razvan Benchea, Dragos Teodor Gavrilut, Dan-Georgian Marculet, 2019, 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Building a practical and reliable classifier for malware detection

Razvan Benchea, Dragos Gavrilut, Cristina Vatamanu, 2013, Journal of Computer Virology and Hacking Techniques.

Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection

Razvan Benchea, Dragos Gavrilut, 2014, ICCS.

GPU memory leveraged for accelerated training using Tensorflow

Razvan Benchea, Dragos Gavrilut, Dan-Georgian Marculet, 2017, 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP).

Practical Optimizations for Perceptron Algorithms in Large Malware Dataset

Razvan Benchea, Dragos Gavrilut, Cristina Vatamanu, 2012, 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.