matthewwicker / IterativeSalienceOcclusionLinks
Code Repository to check robustness of 3D Deep Learning (Volumetric and PointNet) to occlusion attacks
☆14Updated 6 years ago
Alternatives and similar repositories for IterativeSalienceOcclusion
Users that are interested in IterativeSalienceOcclusion are comparing it to the libraries listed below
Sorting:
- Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.☆27Updated 5 years ago
- New distributional and shape attacks on neural networks that process 3D point cloud data.☆41Updated 2 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 4 years ago
- AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)☆47Updated 4 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 6 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆27Updated 2 years ago
- ☆14Updated 5 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- Generating 3D Adversarial Point Clouds☆104Updated 5 years ago
- ☆20Updated 6 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 4 years ago
- [CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation☆32Updated 7 years ago
- ☆23Updated 4 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Tensorflow Implementation of "DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense", ICCV 2019☆13Updated 4 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Updated 5 years ago
- Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)☆27Updated 2 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 4 months ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated last year
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 years ago