no code implementations • 20 Feb 2024 • Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
Large Language Models (LLMs) demonstrate remarkable capabilities across diverse applications.
no code implementations • 6 Feb 2024 • Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
The paper introduces SceMQA, a novel benchmark for scientific multimodal question answering at the college entrance level.
no code implementations • 22 Jan 2024 • Sihan Niu, Yifan Zhou, Zhikai Li, Shuyao Huang, Yujun Zhou
This paper presents a unique solution to challenges in medical image processing by incorporating an adaptive curve grey wolf optimization (ACGWO) algorithm into neural network backpropagation.
no code implementations • 13 Dec 2022 • Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang
Machine Learning-as-a-Service systems (MLaaS) have been largely developed for cybersecurity-critical applications, such as detecting network intrusions and fake news campaigns.
no code implementations • 13 Dec 2022 • Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang
Our work targets at searching feasible adversarial perturbation to attack a classifier with high-dimensional categorical inputs in a domain-agnostic setting.
no code implementations • ICLR 2022 • Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang
Characterizing and assessing the adversarial vulnerability of classification models with categorical input has been a practically important, while rarely explored research problem.