4 papers
Android App Feature Extraction: A review of approaches for malware and app similarity detection
Simon Torka, Sahin Albayrak
This paper reviews work published between 2002 and 2022 in the fields of Android malware, clone, and similarity detection. It examines the data sources, tools, and features used in…
Optimizing AI-Assisted Code Generation
Simon Torka, Sahin Albayrak
In recent years, the rise of AI-assisted code-generation tools has significantly transformed software development. While code generators have mainly been used to support convention…
ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
Simon Torka, Sahin Albayrak
The advancement of AI technologies has greatly increased the complexity of AI pipelines as they include many stages such as data collection, pre-processing, training, evaluation an…
LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps
Aray Karjauv, Sahin Albayrak
Convolutional Neural Networks (CNNs) are known for their ability to learn hierarchical structures, naturally developing detectors for objects, and semantic concepts within their de…