ThreatDown, the corporate business unit of Malwarebytes, today published research documenting what researchers believe to be ...
Abstract: Obfuscated and fileless malware families evade traditional detection systems by residing exclusively in memory and employing stealthy techniques such as process injection and encrypted ...
Microsoft Defender Experts identified a coordinated developer-targeting campaign delivered through malicious repositories disguised as legitimate Next.js projects and technical assessment materials.
Abstract: Federated learning (FL) is a promising privacy-preserving distributed machine learning paradigm. However, data privacy leakage and Byzantine clients are common challenges in the FL ...