no code implementations • 9 Apr 2024 • Sen Wang, Tianxiong Wang, Shulun Zhao, Zhen Feng, Guangyi Liu, Chunfeng Cui, Chih-Lin I, Jiangzhou Wang
The proposed system architecture and the dedicated signal processing methods enable the scheme to transmit a bigger number of parallel data streams than the number of receiving RF chains, achieving a spectral efficiency performance close to that of a fully digital (FD) MIMO system with the same number of antenna elements, each equipped with an RF chain.
1 code implementation • 4 Feb 2024 • Qingsong Wang, Chunfeng Cui, Deren Han
Recently, there has been a growing interest in the exploration of Nonlinear Matrix Decomposition (NMD) due to its close ties with neural networks.
no code implementations • 7 Apr 2022 • Wen Su, Qingna Li, Chunfeng Cui
In this paper, we investigate the optimization models and the interpretations for three types of adversarial perturbations against support vector machines, including sample-adversarial perturbations (sAP), class-universal adversarial perturbations (cuAP) as well as universal adversarial perturbations (uAP).
1 code implementation • 29 Oct 2019 • Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan Oseledets, Zheng Zhang
Secondly, we propose analyzing the vulnerability of a neural network using active subspace and finding an additive universal adversarial attack vector that can misclassify a dataset with a high probability.