ADAPT to Robustify Prompt Tuning Vision Transformers

no code implementations • 19 Mar 2024 • Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy

The performance of deep models, including Vision Transformers, is known to be vulnerable to adversarial attacks.

Adversarial Defense

ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training

1 code implementation • 29 Mar 2021 • Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban

Making deep neural networks robust to small adversarial noises has recently been sought in many applications.