CUDA: Convolution-based Unlearnable Datasets

Understand

Large-scale training of modern deep learning models heavily relies on publicly available data on the web.

• This potentially unauthorized usage of online data leads to concerns regarding data privacy.
• Recent works aim to make unlearnable data for deep learning models by adding small, specially designed noises to tackle this issue.
• However, these methods are vulnerable to adversarial training (AT) and/or are computationally heavy.