Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)
☆80Apr 3, 2024Updated 2 years ago
Alternatives and similar repositories for diffusion_memorization
Users that are interested in diffusion_memorization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- What do we learn from inverting CLIP models?☆58Mar 6, 2024Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆34Sep 28, 2025Updated 7 months ago
- Official implementation of GOAT model (ICML2023)☆38Jul 3, 2023Updated 2 years ago
- Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion☆11Apr 1, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆113Nov 22, 2023Updated 2 years ago
- ☆33Nov 27, 2023Updated 2 years ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆98Nov 17, 2024Updated last year
- ☆24Jan 27, 2022Updated 4 years ago
- ☆18Oct 12, 2022Updated 3 years ago
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Jan 23, 2022Updated 4 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Sep 9, 2024Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆201May 28, 2024Updated last year
- ☆12Sep 30, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Sep 19, 2022Updated 3 years ago
- Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"