guillaumejs2403 / ACE
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
☆39Updated last week
Alternatives and similar repositories for ACE:
Users that are interested in ACE are comparing it to the libraries listed below
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆24Updated last week
- ☆39Updated 10 months ago
- ☆59Updated 2 years ago
- ☆17Updated last year
- The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)☆26Updated last year
- Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".☆23Updated 4 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆24Updated 4 years ago
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆14Updated last year
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆44Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization☆13Updated last year
- [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification☆29Updated last year
- ☆54Updated last year
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆28Updated 5 months ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆23Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago
- Implementation of "Adversarial purification with Score-based generative models", ICML 2021☆30Updated 3 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 3 months ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆136Updated last year
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 6 months ago
- 🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack☆43Updated 11 months ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆21Updated last year
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆16Updated 3 years ago
- ☆40Updated last year
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆38Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated last year
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆10Updated last year
- Improved Precision and Recall Metric for Assessing Generative Models - Unofficial Pytorch Implementation☆52Updated 3 years ago