Dragos Teodor Gavrilut

32 papers B 2C 6Misc 16Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection. ICAART (3) Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut
2024	Misc	`conf`	A Software Engineering Approach into Analyzing Microsoft Office-Based Email Attacks. SYNASC Cosmin Turtureanu, Gheorghita Mutu, Dragos Teodor Gavrilut
2024	—	`conf`	Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences. IDEAL (1) Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut
2024	Misc	`conf`	Entropy-Driven Visualization in GView: Unveiling the Unknown in Binary File Formats. SYNASC Andrada-Livia Antoneac, Gheorghita Mutu, Dragos Teodor Gavrilut
2024	C	`conf`	On the Properness of Large Language Models for Malware Detection. CRiSIS Marilena Lupascu, Silviu Constantin Vitel, Dragos Teodor Gavrilut, Henri Luchian
2024	—	`conf`	Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features. ICAART (3) Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel
2024	J	`jnl`	Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware. Int. J. Inf. Sec. Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian
2023	J	`jnl`	Feature mining and classifier selection for API calls-based malware detection. Appl. Intell. Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian
2022	C	`conf`	Detection of MSOffice-Embedded Malware: Feature Mining and Short- vs. Long-Term Performance. ISPEC Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian
2022	C	`conf`	Evolution of macro VBA obfuscation techniques. SIN Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian
2022	C	`conf`	Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms. SIN Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut
2022	C	`conf`	Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection. ISPEC Gheorghe Balan, Dragos Teodor Gavrilut, Henri Luchian
2022	C	`conf`	Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection. IDEAL Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut
2021	—	`conf`	A Practical Approach For Malware Identification Based On Anti-Emulation Techniques And Feature To Image Translation. ICCTA Georgiana Ingrid Stoleru, Dragos Teodor Gavrilut
2019	Misc	`conf`	An Adversarial Machine Learning Approach to Evaluate the Robustness of a Security Solution. SYNASC Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian
2019	Misc	`conf`	Methods for Training Neural Networks with Zero False Positives for Malware Detection. SYNASC Dan-Georgian Marculet, Razvan Benchea, Dragos Teodor Gavrilut
2018	Misc	`conf`	Adjusting SVMs for Large Data Sets using Balanced Decision Trees. SYNASC Cristina Vatamanu, Dragos Teodor Gavrilut, George Popoiu
2018	Misc	`conf`	An Overview of Obfuscation Techniques used by Malware in Visual Basic for Application Scripts. SYNASC Marilena Lupascu, Dragos Teodor Gavrilut, Dorel Lucanu
2018	Misc	`conf`	Increasing Protection Against Internet Attacks through Contextual Feature Pairing. SYNASC Georgiana Ingrid Stoleru, Adrian-Stefan Popescu, Dragos Teodor Gavrilut
2018	Misc	`conf`	Optimizing Cleanset Growth by Using Multi-Class Neural Networks. SYNASC Adrian Ioan Pîrîu, Mihai Leonte, Nicolae Postolachi, Dragos Teodor Gavrilut
2017	B	`conf`	Building a cleanset. An artificial intelligence perspective of identifying network installers. ICCP Mihai Leonte, Dragos Teodor Gavrilut, Nicolae Postolachi
2017	B	`conf`	GPU memory leveraged for accelerated training using Tensorflow. ICCP Dan-Georgian Marculet, Dragos Teodor Gavrilut, Razvan Benchea
2017	Misc	`conf`	Machine Learning based Malware Detection. How to Balance Memory Footprint with Model Accuracy. SYNASC Dragos Teodor Gavrilut, Anton Dan Gabriel, George Popoiu
2016	J	`jnl`	A practical approach for clustering large data flows of malicious URLs. J. Comput. Virol. Hacking Tech. Adrian-Stefan Popescu, Dragos Teodor Gavrilut, Daniel-Ionut Irimia
2016	Misc	`conf`	Detecting Malicious URLs: A Semi-Supervised Machine Learning System Approach. SYNASC Anton Dan Gabriel, Dragos Teodor Gavrilut, Baetu Ioan Alexandru, Adrian-Stefan Popescu
2016	Misc	`conf`	Identifying DGA-Based Botnets Using Network Anomaly Detection. SYNASC Dragos Teodor Gavrilut, George Popoiu, Razvan Benchea
2015	Misc	`conf`	A Study on Techniques for Proactively Identifying Malicious URLs. SYNASC Adrian-Stefan Popescu, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut
2015	Misc	`conf`	Improving Malware Detection Response Time with Behavior-Based Statistical Analysis Techniques. SYNASC Dumitru-Bogdan Prelipcean, Adrian-Stefan Popescu, Dragos Teodor Gavrilut
2014	Misc	`conf`	A Practical Approach on Cleaning-Up Large Data Sets. SYNASC Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut
2014	Misc	`conf`	Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection. ICCS Razvan Benchea, Dragos Teodor Gavrilut
2013	J	`jnl`	A study on common malware families evolution in 2012. J. Comput. Virol. Hacking Tech. Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut
2013	Misc	`conf`	An Automatic Updating Perceptron-Based System for Malware Detection. SYNASC Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut