Showing 61-80 of 147 projects
A security toolkit for protecting against attacks on large language models (LLMs) like ChatGPT.
Official PyTorch implementation of U-GAT-IT, an unsupervised generative adversarial network for image-to-image translation.
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
A tool for creating vulnerable environments to simulate attacks and collect data into Splunk for security research and detection.
Fibratus is a powerful security tool for adversary tradecraft detection, protection, and hunting on Windows.
A curated list of resources on text-to-image generation and synthesis, useful for AI-focused developers.
Stable Diffusion-powered one-step image-to-image tool for tasks like sketch2image, day2night, and more
A curated list of resources for using Generative Adversarial Networks (GANs) in medical imaging applications.
Generates text-to-image synthesis using thought vectors.
This is a PyTorch implementation of adversarial attacks, a tool for developers working on deep learning projects.
A go-based tool to process images with features like color palette extraction, OCR, upscaling, and more.
An integrated federated learning library for research and production use cases.
GANimation is a PyTorch library for generating facial animations from a single image using generative adversarial networks.
A tool for visualizing and controlling the latent space of Generative Adversarial Networks (GANs) using supervised learning.
A curated list of awesome adversarial machine learning resources for developers.
A curated reading list for security, safety, and privacy of large language models (LLMs) and AI systems.
A repository for threat hunting in IT environments, providing information and tools for adversaries detection.
This repository contains code for comparing Generative Adversarial Networks (GANs), a type of machine learning model.
An interactive visualization tool for discovering interpretable controls in Generative Adversarial Networks (GANs)
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