Heathcliff-saku / ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
☆30Updated last year
Alternatives and similar repositories for ViewFool_:
Users that are interested in ViewFool_ are comparing it to the libraries listed below
- ☆40Updated last year
- PatchAttack (ECCV 2020)☆60Updated 4 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆73Updated 2 years ago
- [NeurIPS'22] GAMA: Generative Adversarial Multi-Object Scene Attacks☆17Updated last year
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆60Updated 2 years ago
- Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)☆23Updated last year
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆47Updated 3 months ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- ☆30Updated 3 years ago
- ☆22Updated 2 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆26Updated 3 years ago
- GreedyFool (NIPS2020) official code for saprse adversarial attack☆35Updated 4 years ago
- LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)☆17Updated 3 years ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆37Updated 5 months ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024☆29Updated last year
- 🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack☆43Updated 11 months ago
- SEAT☆20Updated last year
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 3 months ago
- ☆13Updated 2 years ago
- ☆29Updated 3 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆27Updated 3 months ago
- ☆23Updated last year
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆56Updated 3 years ago
- Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)☆41Updated 3 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 3 years ago
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago