2 papers
cs.CR2026
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
Ruihan Hu, Yu-Ming Shang, Wei Luo +2
Large Reasoning Models (LRMs) have rapidly gained prominence for their strong performance in solving complex tasks. Many modern black-box LRMs expose the intermediate reasoning tra…
cs.CV2025
Slice or the Whole Pie? Utility Control for AI Models
Ye Tao
Training deep neural networks (DNNs) has become an increasingly resource-intensive task, requiring large volumes of labeled data, substantial computational power, and considerable…