Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective

Machine learning-based malware detectors are increasingly vulnerable to adversarial examples. Traditional defenses, such as one-shot adversarial training, often fail against adaptive attackers who use reinforcement learning to bypass detection. This paper proposes a robust defense framework based...

CERT-UA Warns of UAC-0173 Attacks Deploying DCRat to Compromise Ukrainian Notaries

The Computer Emergency Response Team of Ukraine CERT-UA on Tuesday warned of renewed activity from an organized criminal group it tracks as UAC-0173 that involves infecting computers with a remote access trojan named DCRat aka DarkCrystal RAT. The Ukrainian cybersecurity authority said it observe...