xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
☆28Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated last year
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆47Updated 2 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆17Updated last year
- ☆32Updated last year
- ☆19Updated 2 years ago
- ☆10Updated 2 years ago
- Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"☆27Updated 4 years ago
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆21Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆23Updated 4 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆14Updated last year
- ☆26Updated 2 years ago
- SEAT☆20Updated last year
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆26Updated 2 years ago
- ☆55Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated last year
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆36Updated 2 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆18Updated 2 months ago
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆24Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated last year
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆17Updated 4 years ago
- Code for our NeurIPS 2020 paper Practical No-box Adversarial Attacks against DNNs.☆33Updated 3 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 4 years ago
- A curated list of papers for the transferability of adversarial examples☆54Updated 4 months ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated last year
- The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack…☆26Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated 11 months ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆77Updated 2 years ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆33Updated last year