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Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
A latent text-to-image diffusion model
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
[ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
Release for Improved Denoising Diffusion Probabilistic Models
Towards Memorization-Free Diffusion Models (CVPR2024) Codebase
A collection of resources and papers on Diffusion Models
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
Training Sparse Autoencoders on Language Models
Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
loganriggs / sparse_coding
Forked from HoagyC/sparse_codingSparse Autoencoder for Mechanistic Interpretability
Using sparse coding to find distributed representations used by neural networks.
Downloads 2020 English Wikipedia articles as plaintext
A curation of awesome tools, documents and projects about LLM Security.
Official inference library for Mistral models
A collection of infrastructure and tools for research in neural network interpretability.
Using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned which can reveal how …
Python Script to access ATT&CK content available in STIX via a public TAXII server
🚨ATTENTION🚨 The CVE mappings have migrated to the Center’s Mappings Explorer project. See README below. This repository is kept here as an archive.
🦜🔗 Build context-aware reasoning applications
A Python script that generates Snort IDS rules from network packets
CSE-CIC-IDS-2018 analyze with Random Forest