utkuozbulak / imagenet-adversarial-image-evaluationLinks
Code and some materials from the papers "Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks" (BMVC 2021) and "Evaluating Adversarial Attacks on ImageNet:A Reality Check on Misclassification Classes" (NeurIPS 2021, Workshop track).
☆12Updated 4 years ago
Alternatives and similar repositories for imagenet-adversarial-image-evaluation
Users that are interested in imagenet-adversarial-image-evaluation are comparing it to the libraries listed below
Sorting:
- ☆42Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- ☆19Updated 2 years ago
- PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020☆53Updated 5 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 4 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆25Updated 4 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Updated 2 years ago
- Code for Adversarial Example Games NeurIPS 2020 Paper☆27Updated last year
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Updated 4 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 3 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 5 years ago
- Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.☆26Updated 4 years ago
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆75Updated last year
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆105Updated last year
- The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.☆22Updated 3 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆28Updated 6 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27Updated last year
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 5 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 6 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Updated 4 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Updated 3 years ago
- Defending Against Physically Realizable Attacks on Image Classification☆35Updated 3 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆35Updated 5 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago