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2020 – today
- 2023
[j1]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)- [c8]Gheorghe Balan:
Using sequences of API Calls to identify and classify ransomware families. SYNASC 2023: 178-185 - 2022
- [c7]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 - [c6]Gheorghe Balan, Dragos Teodor Gavrilut, Henri Luchian:
Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection. ISPEC 2022: 233-251 - [c5]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
2010 – 2019
- 2019
- [c4]Cristian Simionescu, Ingrid Stoleru, Diana Lucaci, Gheorghe Balan, Iulian Bute, Adrian Iftene:
UAIC at SemEval-2019 Task 3: Extracting Much from Little. SemEval@NAACL-HLT 2019: 355-359 - [c3]Silviu Constantin Vitel, Gheorghe Balan, Dumitru-Bogdan Prelipcean:
Improving Detection of Malicious Office Documents Using One-Side Classifiers. SYNASC 2019: 243-247 - [c2]Alexandru Gabriel Bucevschi, Gheorghe Balan, Dumitru-Bogdan Prelipcean:
Preventing File-Less Attacks with Machine Learning Techniques. SYNASC 2019: 248-252 - 2018
- [c1]Gheorghe Balan, Adrian-Stefan Popescu:
Detecting Java Compiled Malware using Machine Learning Techniques. SYNASC 2018: 435-439
Coauthor Index
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