| 2026 | SECRYPT | Fighting Cybercrime: Identifying Ransomware Families Using API Sequences and Retrieval-Augmented Ransom Note Analysis. | Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut |
| 2025 | ICAART | Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection. | Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut |
| 2024 | CRiSIS | On the Properness of Large Language Models for Malware Detection. | Marilena Lupascu, Silviu Constantin Vitel, Dragos Teodor Gavrilut, Henri Luchian |
| 2024 | ICAART | Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features. | Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel |
| 2024 | IDEAL | Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences. | Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut |
| 2024 | SYNASC | Entropy-Driven Visualization in GView: Unveiling the Unknown in Binary File Formats. | Andrada-Livia Antoneac, Gheorghita Mutu, Dragos Teodor Gavrilut |
| 2024 | SYNASC | A Software Engineering Approach into Analyzing Microsoft Office-Based Email Attacks. | Cosmin Turtureanu, Gheorghita Mutu, Dragos Teodor Gavrilut |
| 2022 | IDEAL | Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection. | Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut |
| 2022 | ISPEC | Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection. | Gheorghe Balan, Dragos Teodor Gavrilut, Henri Luchian |
| 2022 | ISPEC | Detection of MSOffice-Embedded Malware: Feature Mining and Short- vs. Long-Term Performance. | Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian |
| 2022 | SIN | Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms. | Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut |
| 2022 | SIN | Evolution of macro VBA obfuscation techniques. | Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian |
| 2019 | SYNASC | Methods for Training Neural Networks with Zero False Positives for Malware Detection. | Dan-Georgian Marculet, Razvan Benchea, Dragos Teodor Gavrilut |
| 2019 | SYNASC | An Adversarial Machine Learning Approach to Evaluate the Robustness of a Security Solution. | Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian |
| 2018 | SYNASC | An Overview of Obfuscation Techniques used by Malware in Visual Basic for Application Scripts. | Marilena Lupascu, Dragos Teodor Gavrilut, Dorel Lucanu |
| 2018 | SYNASC | Optimizing Cleanset Growth by Using Multi-Class Neural Networks. | Adrian Ioan Pru, Mihai Leonte, Nicolae Postolachi, Dragos Teodor Gavrilut |
| 2018 | SYNASC | Increasing Protection Against Internet Attacks through Contextual Feature Pairing. | Georgiana Ingrid Stoleru, Adrian-Stefan Popescu, Dragos Teodor Gavrilut |
| 2018 | SYNASC | Adjusting SVMs for Large Data Sets using Balanced Decision Trees. | Cristina Vatamanu, Dragos Teodor Gavrilut, George Popoiu |
| 2017 | SYNASC | Machine Learning based Malware Detection. How to Balance Memory Footprint with Model Accuracy. | Dragos Teodor Gavrilut, Anton Dan Gabriel, George Popoiu |
| 2016 | SYNASC | Detecting Malicious URLs: A Semi-Supervised Machine Learning System Approach. | Anton Dan Gabriel, Dragos Teodor Gavrilut, Baetu Ioan Alexandru, Adrian-Stefan Popescu |
| 2016 | SYNASC | Identifying DGA-Based Botnets Using Network Anomaly Detection. | Dragos Teodor Gavrilut, George Popoiu, Razvan Benchea |
| 2015 | SYNASC | A Study on Techniques for Proactively Identifying Malicious URLs. | Adrian-Stefan Popescu, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut |
| 2015 | SYNASC | Improving Malware Detection Response Time with Behavior-Based Statistical Analysis Techniques. | Dumitru-Bogdan Prelipcean, Adrian-Stefan Popescu, Dragos Teodor Gavrilut |
| 2014 | ICCS | Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection. | Razvan Benchea, Dragos Teodor Gavrilut |
| 2014 | SYNASC | A Practical Approach on Cleaning-Up Large Data Sets. | Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut |
| 2013 | SYNASC | An Automatic Updating Perceptron-Based System for Malware Detection. | Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut |