Detecting Java Compiled Malware using Machine Learning Techniques. - Gheorghe Balan; Adrian-Stefan Popescu (SYNASC, 2018)

UAIC at SemEval-2019 Task 3: Extracting Much from Little. - Cristian Simionescu; Ingrid Stoleru; Diana Lucaci; Gheorghe Balan; Iulian Bute; Adrian Iftene (SemEval@NAACL-HLT, 2019)

Preventing File-Less Attacks with Machine Learning Techniques. - Alexandru Gabriel Bucevschi; Gheorghe Balan; Dumitru-Bogdan Prelipcean (SYNASC, 2019)

Improving Detection of Malicious Office Documents Using One-Side Classifiers. - Silviu Constantin Vitel; Gheorghe Balan; Dumitru-Bogdan Prelipcean (SYNASC, 2019)

Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection. - Ciprian-Alin Simion; Gheorghe Balan; Dragos Teodor Gavrilut (IDEAL, 2022)

Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection. - Gheorghe Balan; Dragos Teodor Gavrilut; Henri Luchian (ISPEC, 2022)

Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms. - Ciprian-Alin Simion; Gheorghe Balan; Dragos Teodor Gavrilut (SIN, 2022)

Using sequences of API Calls to identify and classify ransomware families. - Gheorghe Balan (SYNASC, 2023)

Feature mining and classifier selection for API calls-based malware detection. - Gheorghe Balan; Ciprian-Alin Simion; Dragos Teodor Gavrilut; Henri Luchian (Appl. Intell., 2023)

Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences. - Ciprian-Alin Simion; Gheorghe Balan; Dragos Teodor Gavrilut (IDEAL (1), 2024)

Fine Tuning LLMs vs Non-Generative Machine Learning Models: A Comparative Study of Malware Detection. - Gheorghe Balan; Ciprian-Alin Simion; Dragos Teodor Gavrilut (ICAART (3), 2025)