Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.

A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack involving obfuscation, disposable infrastructure and commercial offensive tools.

Abstract: Maintaining the performance of machine learning (ML) models amid evolving data distributions presents a considerable challenge in real-world applications. This paper introduces a framework ...

Abstract: Sparse computations are common in practical HPC, AI and graph-based applications. Such computations often exhibit scattered and fragmented data accesses, which negatively impact data ...