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2020 – today
- 2024
[j9]Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian:
Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware. Int. J. Inf. Sec. 23(1): 271-297 (2024)- [c33]Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel:
Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features. ICAART (3) 2024: 226-234 - [c32]Raul Zaharia
, Dragos Gavrilut, Gheorghita Mutu, Dorel Lucanu:
Interactive Assistance in Malware Dissemination Detection and Analysis. SCID@AsiaCCS 2024: 7 - [i1]Raul Zaharia, Dragos Gavrilut, Gheorghita Mutu, Dorel Lucanu:
GView: A Versatile Assistant for Security Researchers. CoRR abs/2404.09058 (2024) - 2023
- [j8]Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian:
Feature mining and classifier selection for API calls-based malware detection. Appl. Intell. 53(23): 29094-29108 (2023) - 2022
- [c31]Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut:
Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection. IDEAL 2022: 399-410 - [c30]Gheorghe Balan, Dragos Teodor Gavrilut, Henri Luchian:
Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection. ISPEC 2022: 233-251 - [c29]Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian:
Detection of MSOffice-Embedded Malware: Feature Mining and Short- vs. Long-Term Performance. ISPEC 2022: 287-305 - [c28]Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut:
Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms. SIN 2022: 1-8 - [c27]Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian:
Evolution of macro VBA obfuscation techniques. SIN 2022: 1-8 - 2021
- [c26]Georgiana Ingrid Stoleru, Dragos Teodor Gavrilut:
A Practical Approach For Malware Identification Based On Anti-Emulation Techniques And Feature To Image Translation. ICCTA 2021: 133-140
2010 – 2019
- 2019
- [c25]Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian:
An Adversarial Machine Learning Approach to Evaluate the Robustness of a Security Solution. SYNASC 2019: 148-154 - [c24]Dan-Georgian Marculet, Razvan Benchea, Dragos Teodor Gavrilut:
Methods for Training Neural Networks with Zero False Positives for Malware Detection. SYNASC 2019: 230-236 - 2018
- [j7]Catalin-Valeriu Lita, Doina Cosovan, Dragos Gavrilut:
Anti-emulation trends in modern packers: a survey on the evolution of anti-emulation techniques in UPA packers. J. Comput. Virol. Hacking Tech. 14(2): 107-126 (2018) - [c23]Cristina Vatamanu, Dragos Teodor Gavrilut, George Popoiu:
Adjusting SVMs for Large Data Sets using Balanced Decision Trees. SYNASC 2018: 223-229 - [c22]Marilena Lupascu, Dragos Teodor Gavrilut, Dorel Lucanu:
An Overview of Obfuscation Techniques used by Malware in Visual Basic for Application Scripts. SYNASC 2018: 280-287 - [c21]Adrian Ioan Pîrîu, Mihai Leonte, Nicolae Postolachi, Dragos Teodor Gavrilut:
Optimizing Cleanset Growth by Using Multi-Class Neural Networks. SYNASC 2018: 425-429 - [c20]Georgiana Ingrid Stoleru, Adrian-Stefan Popescu, Dragos Teodor Gavrilut:
Increasing Protection Against Internet Attacks through Contextual Feature Pairing. SYNASC 2018: 430-434 - 2017
- [c19]Cristina Vatamanu, Doina Cosovan, Dragos Gavrilut, Henri Luchian:
Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection. ICANN (2) 2017: 250-259 - [c18]Mihai Leonte, Dragos Teodor Gavrilut, Nicolae Postolachi:
Building a cleanset. An artificial intelligence perspective of identifying network installers. ICCP 2017: 29-36 - [c17]Dan-Georgian Marculet, Dragos Teodor Gavrilut, Razvan Benchea:
GPU memory leveraged for accelerated training using Tensorflow. ICCP 2017: 347-353 - [c16]Andrei Arusoaie, Stefan Ciobaca, Vlad Craciun, Dragos Gavrilut, Dorel Lucanu:
A Comparison of Open-Source Static Analysis Tools for Vulnerability Detection in C/C++ Code. SYNASC 2017: 161-168 - [c15]Dragos Teodor Gavrilut, Anton Dan Gabriel, George Popoiu:
Machine Learning based Malware Detection. How to Balance Memory Footprint with Model Accuracy. SYNASC 2017: 232-238 - 2016
- [j6]Ciprian Oprisa, Dragos Gavrilut, George Cabau:
A scalable approach for detecting plagiarized mobile applications. Knowl. Inf. Syst. 49(1): 143-169 (2016) - [j5]Adrian-Stefan Popescu, Dragos Teodor Gavrilut, Daniel-Ionut Irimia:
A practical approach for clustering large data flows of malicious URLs. J. Comput. Virol. Hacking Tech. 12(1): 37-47 (2016) - [c14]Anton Dan Gabriel, Dragos Teodor Gavrilut, Baetu Ioan Alexandru, Adrian-Stefan Popescu:
Detecting Malicious URLs: A Semi-Supervised Machine Learning System Approach. SYNASC 2016: 233-239 - [c13]Dragos Teodor Gavrilut, George Popoiu, Razvan Benchea:
Identifying DGA-Based Botnets Using Network Anomaly Detection. SYNASC 2016: 292-299 - 2015
- [c12]Razvan Benchea, Dragos Gavrilut, Henri Luchian:
Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification. EVOLVE 2015: 82-93 - [c11]Adrian-Stefan Popescu, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut:
A Study on Techniques for Proactively Identifying Malicious URLs. SYNASC 2015: 204-211 - [c10]Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea, Henri Luchian:
Feature Extraction Using Genetic Programming with Applications in Malware Detection. SYNASC 2015: 224-231 - [c9]Dumitru-Bogdan Prelipcean, Adrian-Stefan Popescu, Dragos Teodor Gavrilut:
Improving Malware Detection Response Time with Behavior-Based Statistical Analysis Techniques. SYNASC 2015: 232-239 - 2014
- [c8]Razvan Benchea, Dragos Teodor Gavrilut:
Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection. ICCS 2014: 93-103 - [c7]Doina Cosovan, Razvan Benchea, Dragos Gavrilut:
A Practical Guide for Detecting the Java Script-Based Malware Using Hidden Markov Models and Linear Classifiers. SYNASC 2014: 236-243 - [c6]Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut:
A Practical Approach on Cleaning-Up Large Data Sets. SYNASC 2014: 280-284 - 2013
- [j4]Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut:
A study on common malware families evolution in 2012. J. Comput. Virol. Hacking Tech. 9(4): 171-178 (2013) - [j3]Cristina Vatamanu, Dragos Gavrilut, Razvan-Mihai Benchea:
Building a practical and reliable classifier for malware detection. J. Comput. Virol. Hacking Tech. 9(4): 205-214 (2013) - [c5]Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut:
An Automatic Updating Perceptron-Based System for Malware Detection. SYNASC 2013: 303-307 - 2012
- [j2]Mihai Cimpoesu, Dragos Gavrilut, Adrian Popescu:
The proactivity of Perceptron derived algorithms in malware detection. J. Comput. Virol. 8(4): 133-140 (2012) - [j1]Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea:
A practical approach on clustering malicious PDF documents. J. Comput. Virol. 8(4): 151-163 (2012) - [c4]Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu:
Practical Optimizations for Perceptron Algorithms in Large Malware Dataset. SYNASC 2012: 240-246 - [c3]Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu:
Optimized Zero False Positives Perceptron Training for Malware Detection. SYNASC 2012: 247-253 - 2011
- [c2]Dragos Gavrilut, Liviu Ciortuz:
Dealing with Class Noise in Large Training Datasets for Malware Detection. SYNASC 2011: 401-407
2000 – 2009
- 2009
- [c1]Dragos Gavrilut, Mihai Cimpoesu, Dan Anton, Liviu Ciortuz:
Malware detection using machine learning. IMCSIT 2009: 735-741
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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