Awesome Unlearnable Examples

A curated list of awesome Unlearnable Example papers and resources.

Papers

• Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise (2023), Y. Liu et al. [pdf]
• Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World (2023), Z. Zhang et al. [pdf]
• Re-thinking Data Availablity Attacks Against Deep Neural Networks (2023), B. Fang et al. [pdf]
• Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples (2023), W. Jiang et al. [pdf]
• Towards Generalizable Data Protection With Transferable Unlearnable Examples (2023), B. Fang et al. [pdf]
• Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation (2023), Z. Zhao et al. pdf
• Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks (2023) T. Qin et al. [pdf]
• Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples (2022), J. Zhang et al. [pdf]
• One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (2022), S. Wu et al. [pdf]
• Transferable Unlearnable Examples (2022), J. Ren et al. [pdf]
• Robust Unlearnable Examples: Protecting Data Against Adversarial Learning (2022), S. Fu et al. [pdf]
• Going Grayscale: The Road to Understanding and Improving Unlearnable Examples (2021), Z. Liu et al. [pdf]
• Unlearnable Examples: Making Personal Data Unexploitable (2021), H. Huang et al. [pdf]