44 citations · 88 across the 6 of their papers we have counts for
7 papers
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
Haidong Xie, Jia Tan, Xiaoying Zhang +5
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficien…
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji, YanFei Feng, Haidong Xie +2
The security of object detection systems has attracted increasing attention, especially when facing adversarial patch attacks. Since patch attacks change the pixels in a restricted…
Blind Adversarial Training: Balance Accuracy and Robustness
Haidong Xie, Xueshuang Xiang, Naijin Liu +1
Adversarial training (AT) aims to improve the robustness of deep learning models by mixing clean data and adversarial examples (AEs). Most existing AT approaches can be grouped int…
Statistical inference and feasibility determination: a nonasymptotic approach
Ying Zhu
We develop non-asymptotically justified methods for hypothesis testing about the dimensional coefficients in (possibly nonlinear) regression models. Given a function $h…
Analytic continuation with Padé decomposition
Xing-Jie Han, Hai-Jun Liao, Hai-Dong Xie +3
The ill-posed analytic continuation problem for Green's functions or self-energies can be done using the Padé rational polynomial approximation. However, to extract accurate result…
Phase transition of the q-state clock model: duality and tensor renormalization
Jing Chen, Hai-Jun Liao, Hai-Dong Xie +6
We investigate the critical behavior and the duality property of the ferromagnetic -state clock model on the square lattice based on the tensor-network formalism. From the entan…