hendrycks / fooling
Code for the Adversarial Image Detectors and a Saliency Map
☆12Updated 7 years ago
Alternatives and similar repositories for fooling:
Users that are interested in fooling are comparing it to the libraries listed below
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- ☆21Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- ☆12Updated 5 years ago
- ☆19Updated 3 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 5 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Updated 4 years ago
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 5 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 3 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Scaleable input gradient regularization☆22Updated 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 2 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- ☆11Updated 5 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Updated 2 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- ☆29Updated 5 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Updated 6 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 4 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- It turns out that adversarial and clean data are not twins, not at all.☆19Updated 7 years ago
- ☆18Updated 5 years ago
- ☆46Updated 3 years ago
- ☆35Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 5 months ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago