Anna Melekhova
I am a Data Scientist at Siemens Healthineers, working in the Cybersecurity department and currently based in Bratislava. Alongside my professional role, I am pursuing a PhD at the Slovak University of Technology, Faculty of Electrical Engineering and Informatics, specializing in Mechatronic Systems with a focus on intelligent systems and technologies. In my free time, I enjoy reading, staying active through sports, and spending time with friends.
Session
As machine learning becomes a core component in malware detection, new risks emerge from adversarial manipulation. This talk explores how ML-based malware classifiers respond to targeted feature modifications. In order to experimentally assess their robustness, several models were trained to classify malicious and benign files and then tested with adversarially altered samples. The presentation focuses on data preparation, attack simulation, and a comparative analysis of model robustness under adversarial conditions.