wielandbrendel / adaptive_attacks_paper
Code for "On Adaptive Attacks to Adversarial Example Defenses"
☆87Updated 4 years ago
Alternatives and similar repositories for adaptive_attacks_paper:
Users that are interested in adaptive_attacks_paper are comparing it to the libraries listed below
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆147Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- ☆65Updated last year
- A unified benchmark problem for data poisoning attacks☆155Updated last year
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆89Updated 2 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆96Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- ☆22Updated last year
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- ☆85Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆30Updated 4 years ago
- ☆51Updated 3 years ago
- ☆25Updated 6 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆164Updated 9 months ago
- Code for FAB-attack☆32Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- ☆59Updated 3 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- ☆23Updated 3 years ago