Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...

Abstract: We present a comprehensive tutorial on the finite-difference time-domain (FDTD) modeling of space, time, and space-time-varying media, building upon our previous review by offering a ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Using a framework can save time and help you focus by limiting your available options. Despite their obvious benefits, there ...

Objective metrics, intelligent test generation, and data-driven insights for LLM apps Ragas is your ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. Say goodbye ...