Popular GitHub Repositories for Transfer Attack

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)

Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)

The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

[CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method

Official code for "PubDef: Defending Against Transfer Attacks From Public Models" (ICLR 2024)