Wen Shen

Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model

2020

Moving target defense has emerged as a critical paradigm of protecting a vulnerable system against persistent and stealthy attacks. To protect a system, a defender proactively changes the system configurations to limit the exposure of …

Batch Normalization Is Blind to the First and Second Derivatives of the Loss

2022 · arXiv (Cornell University)

In this paper, we prove the effects of the BN operation on the back-propagation of the first and second derivatives of the loss. When we do the Taylor series expansion of the loss function, we …

Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?

2023 · arXiv (Cornell University)

In this paper, we explain the inference logic of large language models (LLMs) as a set of symbolic concepts. Many recent studies have discovered that traditional DNNs usually encode sparse symbolic concepts. However, because an …

Automatic Generation of Impressions from Brain MRI Report Findings using Large Language Models: A Multi-centers Retrospective Analysis

2025 · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Motivation: The performance of privacy-preserving LLMs for the generation of impressions in the radiology reports in multi-centers has not yet been investigated. Goal(s): To develop privacy-preserving LLMs that generates the Impressions from Findings, and compare …