AminJun / lisaLinks
LISA Traffic Signs Dataset for Pytorch. For Classification. 32x32 images. I use this to reproduce the Activation Clustering Results.
☆19Updated 4 years ago
Alternatives and similar repositories for lisa
Users that are interested in lisa are comparing it to the libraries listed below
Sorting:
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- ☆9Updated 4 years ago
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆47Updated last year
- ☆29Updated 3 years ago
- ☆28Updated 4 years ago
- ☆51Updated 3 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆72Updated last year
- ☆28Updated 3 years ago
- Defending Against Physically Realizable Attacks on Image Classification☆34Updated 2 years ago
- Pytorch code for ens_adv_train☆15Updated 6 years ago
- Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?☆11Updated 3 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆102Updated 9 months ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- PyTorch implementation of Kaggle GTSRB challenge with 99.8% accuracy☆55Updated 6 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 2 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 2 years ago
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆22Updated last year
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- ☆29Updated last year
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆42Updated 2 years ago
- An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks☆14Updated 3 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40Updated 5 years ago
- This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial exam…☆33Updated 4 years ago
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆33Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆47Updated 4 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆43Updated 2 years ago
- ☆40Updated last year