Solve captcha without manually labeling a training set
- keras
- gan
- neural-network
- generative-adversarial-network
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Solve captcha without manually labeling a training set
The Simplest DCGAN Implementation
A curated list of awesome resources for adversarial examples in deep learning
Create adversarial attacks against machine learning Windows malware detectors
A Hub/research area, for jailbreaking LLM's, and breaking their safety filters.
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System
Using Machine Learning to predict the type of exercise from movement data
Synthetic Adversarial Log Objects: A Framework for synthentic log generation
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Unsupervised Image to Image Translation with Generative Adversarial Networks
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Claude Code marketplace for multi-agent collaboration — task splitter, output reconciler, adversarial debate, shared memory, acceptance gate. Composes with codex-delegate / gemini-delegate.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Attack tool for altering packed samples so that they evade static packing detection
Risk-adaptive development pipeline with adversarial consensus code review