2 citations · 3 across the 8 of their papers we have counts for
7 papers · 1 filter
Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
Olha Jurečková, Martin Jureček, Matouš Kozák +1
Machine learning-based malware detectors are increasingly vulnerable to adversarial examples. Traditional defenses, such as one-shot adversarial training, often fail against adapti…
Detecting and Explaining Malware Family Evolution Using Rule-Based Drift Analysis
Olha Jurečková, Martin Jureček
Malware detection and classification into families are critical tasks in cybersecurity, complicated by the continual evolution of malware to evade detection. This evolution introdu…
Online Clustering of Known and Emerging Malware Families
Olha Jurečková, Martin Jureček, Mark Stamp
Malware attacks have become significantly more frequent and sophisticated in recent years. Therefore, malware detection and classification are critical components of information se…
A Natural Language Processing Approach to Malware Classification
Ritik Mehta, Olha Jurečková, Mark Stamp
Many different machine learning and deep learning techniques have been successfully employed for malware detection and classification. Examples of popular learning techniques in th…
Steganographic Capacity of Deep Learning Models
Lei Zhang, Dong Li, Olha Jurečková +1
As machine learning and deep learning models become ubiquitous, it is inevitable that there will be attempts to exploit such models in various attack scenarios. For example, in a s…
Classification and Online Clustering of Zero-Day Malware
Olha Jurečková, Martin Jureček, Mark Stamp +2
A large amount of new malware is constantly being generated, which must not only be distinguished from benign samples, but also classified into malware families. For this purpose,…
Parallel Instance Filtering for Malware Detection
Martin Jureček, Olha Jurečková
Machine learning algorithms are widely used in the area of malware detection. With the growth of sample amounts, training of classification algorithms becomes more and more expensi…