nivha / dataset_reconstruction
☆57Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for dataset_reconstruction
- ☆32Updated 11 months ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆36Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆104Updated 11 months ago
- ☆81Updated last year
- ☆104Updated last year
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…☆57Updated this week
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆76Updated 2 years ago
- A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations…☆266Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆121Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆55Updated 7 months ago
- Differentially Private Diffusion Models☆81Updated 10 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆104Updated last year
- What do we learn from inverting CLIP models?☆45Updated 8 months ago
- ☆52Updated last year
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆39Updated 2 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 10 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆100Updated this week
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆62Updated 7 months ago
- ☆46Updated last year
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆53Updated last week
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Updated 2 years ago
- ☆38Updated 2 months ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆55Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆46Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆92Updated 2 years ago
- ☆53Updated 4 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆45Updated 9 months ago