TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs

As large language models LLMs face growing demands for data removal driven by regulatory compliance, copyright concerns, and privacy protection, approximate unlearning has emerged as a practical alternative to expensive full retraining. In practice, pre- and post-unlearning model snapshots are...