Additionally, it includes a heavily customized fork of msgpack-numpy, with corrected round-trip behaviour for np.float64 objects. This will automatically install/upgrade all dependencies. numpy and ...

dill extends Python's pickle module for serializing and de-serializing Python objects to the majority of the built-in Python types. Serialization is the process of converting an object to a byte ...

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes ...

Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance problems. Using Python, one can load large amounts ...

Three critical security flaws have been disclosed in an open-source utility called Picklescan that could allow malicious actors to execute arbitrary code by loading untrusted PyTorch models, ...

Flaws replicated from Meta’s Llama Stack to Nvidia TensorRT-LLM, vLLM, SGLang, and others, exposing enterprise AI stacks to systemic risk. Cybersecurity researchers have uncovered a chain of critical ...

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

The popular Python Pickle serialization format, which is common for distributing AI models, offers ways for attackers to inject malicious code that will be executed on computers when loading models ...

Researchers at Reversing Labs have discovered two malicious machine learning (ML) models available on Hugging Face, the leading hub for sharing AI models and applications. While these models contain ...

Control flow graphs (CFGs) and function call graphs (FCGs) have become pivotal in providing a detailed understanding of program execution and effectively characterizing the behaviour of malware. These ...