Projects — Unlearnable Data Series
Overview of research projects and paper pages.
Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms
Exploit LLM alignment mechanisms to make data unlearnable via disclaimer injection.
Towards Provably Unlearnable Examples via Bayes Error Optimisation
Maximize Bayes error under imperceptible perturbations to create provably unlearnable data.
Certified Robust Accuracy of Neural Networks Are Bounded Due to Bayes Errors
Prove an upper bound on achievable robust accuracy using Bayes error analysis.