An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

1 code implementation • ICCV 2023 • Bin Chen, Jia-Li Yin, Shukai Chen, Bo-Hao Chen, Ximeng Liu

Alternatively, model ensemble adversarial attacks are proposed to fuse outputs from surrogate models with diverse architectures to get an ensemble loss, making the generated adversarial example more likely to transfer to other models as it can fool multiple models concurrently.

Adversarial Attack