Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Abstract: Homomorphic Encryption (HE) provides strong data privacy for cloud services but at the cost of prohibitive computational overhead. While GPUs have emerged as a practical platform for ...

Here’s a quick look at 19 LLMs that represent the state-of-the-art in large language model design and AI safety—whether your goal is finding a model that provides the highest possible guardrails or ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

A sophisticated, cross-platform keylogger written in Python with advanced features including AES-256 encryption, silent background operation, automatic startup/restart capabilities, and daily log ...

Abstract: Electrocardiogram (ECG) analysis is widely used for early detection of cardiac abnormalities, yet the deployment of deep learning models in cloud environments raises concerns regarding data ...

S3's server-side encryption is great, but your cloud provider holds the keys. S3Proxy sits between your app and S3, encrypting everything before it leaves your infrastructure ...