Staircase-sign-method | effective staircase sign method

Staircase-sign-method is a Python library. Staircase-sign-method has no bugs, it has no vulnerabilities and it has low support. However Staircase-sign-method build file is not available. You can download it from GitHub.

This is the Tensorflow code for our paper "Staircase Sign Method for Boosting Adversarial Attacks" (is under review now). Pytorch version can be found here. In our paper, we rethink the limitation of Sign method (SM), e.g., I-FGSM, and propose a novel Staircase Sign Method (SSM) to alleviate this issue, thus boosting both targeted and non-targeted transfer-based attacks. Comparing with state-of-the-art targeted attacks, we significantly improve the transferability (i.e. on average, 5.1% for normally trained models and 11.2% for adversarially trained defenses). We hope that our proposed method can completely replace the existing SM, not only in terms of transfer-based attacks (e.g. query-based attack). We encourage you to test our SSM and demonstrate the effectiveness of this algorithm. If you have any questions, please feel free to contact me.