IEEE

Iterative Generation of Adversarial Example for Deep Code Models

Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...
GitHub

AI Code Generation Prompts Examples (Python)

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

After LLMs and agents, the next AI frontier: video language models

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
GitHub

Typst backend for matplotlib (Python visualization library).

At the moment, Typst supports main vector and raster image formats. Namely, images in PNG, JPEG, GIF, or SVG format can be easily emplaced in a document with Typst. However, it is not possible to keep ...
IEEE

Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples

Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
TechCrunch

Mistral closes in on Big AI rivals with new open-weight frontier and small models

French AI startup Mistral launched its new Mistral 3 family of open-weight models on Tuesday, a launch that aims to prove it can lead in making AI publicly available and serve business clients better ...