| 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 | 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 |
| 2023 | SYNASC | Using sequences of API Calls to identify and classify ransomware families. | Gheorghe Balan |
| 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 | SIN | Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms. | Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut |
| 2019 | SYNASC | Preventing File-Less Attacks with Machine Learning Techniques. | Alexandru Gabriel Bucevschi, Gheorghe Balan, Dumitru-Bogdan Prelipcean |
| 2019 | SYNASC | Improving Detection of Malicious Office Documents Using One-Side Classifiers. | Silviu Constantin Vitel, Gheorghe Balan, Dumitru-Bogdan Prelipcean |
| 2018 | SYNASC | Detecting Java Compiled Malware using Machine Learning Techniques. | Gheorghe Balan, Adrian-Stefan Popescu |