guillaumejs2403 / ACELinks
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
☆43Updated 5 months ago
Alternatives and similar repositories for ACE
Users that are interested in ACE are comparing it to the libraries listed below
Sorting:
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆26Updated 5 months ago
- ☆58Updated 2 years ago
- PDM-based Purifier☆22Updated 9 months ago
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆13Updated 2 years ago
- ☆21Updated last year
- The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)☆26Updated 2 years ago
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆46Updated 9 months ago
- Official code implement of Robust Classification via a Single Diffusion Model☆90Updated 5 months ago
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆74Updated 9 months ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆21Updated last year
- 🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack☆53Updated last year
- ☆46Updated last year
- Towards understanding modern generative data augmentation techniques.☆27Updated 2 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- ☆42Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- ☆43Updated last year
- Separable Diffusion Model Unlearning☆12Updated 7 months ago
- ☆28Updated last year
- [CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning☆29Updated 9 months ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆51Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆143Updated 2 years ago
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆30Updated 10 months ago
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆53Updated 3 years ago
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆18Updated 2 years ago
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆10Updated 10 months ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆111Updated last year
- Implementation of "Adversarial purification with Score-based generative models", ICML 2021☆30Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".☆23Updated 4 years ago