3 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…
cs.LG2023
An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks
Ye Tao, Wanwei Liu, Fu Song +3
Deep neural networks, (DNNs, a.k.a. NNs), have been widely used in various tasks and have been proven to be successful. However, the accompanied expensive computing and storage cos…