jwf40 / Information-Theoretic-UnlearningLinks
Code for the paper 'An Information Theoretic Approach to Machine Unlearning'
☆23Updated 5 months ago
Alternatives and similar repositories for Information-Theoretic-Unlearning
Users that are interested in Information-Theoretic-Unlearning are comparing it to the libraries listed below
Sorting:
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆55Updated 11 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆130Updated 3 months ago
- What do we learn from inverting CLIP models?☆55Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆77Updated last year
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆75Updated 9 months ago
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…☆80Updated 6 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆144Updated 3 months ago
- ☆59Updated last year
- ☆65Updated 11 months ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆111Updated last year
- ☆162Updated last month
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆43Updated 2 years ago
- ☆87Updated 2 years ago
- ☆114Updated 2 years ago
- Finetune Google's pre-trained ViT models from HuggingFace's model hub.☆21Updated 4 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆77Updated 2 years ago
- [ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementati…☆46Updated 9 months ago
- ☆46Updated last year
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆76Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆104Updated 2 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆100Updated this week
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- [NeurIPS'24] "NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes"☆10Updated last year
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year
- Privacy backdoors☆51Updated last year
- ☆21Updated last year
- A curated list of Model Merging methods.☆92Updated 11 months ago