lxuniverse / defense-vae
Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"
☆13Updated 3 years ago
Related projects: ⓘ
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 5 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆63Updated 5 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆53Updated last year
- This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attac…☆31Updated 5 years ago
- ☆53Updated last year
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆33Updated 4 years ago
- Code for Stability Training with Noise (STN)☆21Updated 3 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆27Updated 2 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆55Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆90Updated 3 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆32Updated last year
- Improving the Generalization of Adversarial Training with Domain Adaptation☆31Updated 5 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆60Updated 3 years ago
- ConvexPolytopePosioning☆33Updated 4 years ago
- Implementation of Wasserstein adversarial attacks.☆22Updated 3 years ago
- AAAI 2019 oral presentation☆49Updated last month
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆108Updated 6 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆52Updated 5 years ago
- Code for FAB-attack☆31Updated 4 years ago
- A PyTorch Implementation of the UAP attack☆19Updated 5 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆32Updated 4 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆56Updated 4 years ago
- ☆76Updated 3 years ago
- Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge☆13Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated last year
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆121Updated 3 years ago
- The FGSM, DeepFool and CW Adversarial Attacks with TensorFlow 2.0☆28Updated last year