inspire-group / PatchGuardLinks
Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"
☆73Updated 3 years ago
Alternatives and similar repositories for PatchGuard
Users that are interested in PatchGuard are comparing it to the libraries listed below
Sorting:
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆47Updated 2 years ago
- ☆58Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆69Updated last year
- Paper sharing in adversary related works☆45Updated 5 months ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 5 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆52Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated 2 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38Updated 3 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Updated 5 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆46Updated 2 years ago
- Defending Against Physically Realizable Attacks on Image Classification☆35Updated 3 years ago
- The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"☆59Updated 4 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆75Updated last year
- ☆42Updated 2 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Updated 5 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 3 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆43Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Updated 3 years ago
- [CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models☆41Updated 5 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆24Updated 3 years ago
- Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.☆35Updated 6 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆48Updated 3 years ago