activity
20182022
most citedFakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

6 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2022

Identifying Boundary Conditions with the Syntax and Semantic Information of Goals

Yechuan Xia, Jianwen Li, Shengping Xiao +2

In goal-oriented requirement engineering, boundary conditions(BC) are used to capture the divergence of goals, i.e., goals cannot be satisfied as a whole in some circumstances. As…

cs.CV20212 cited

AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning

Yihao Huang, Qing Guo, Felix Juefei-Xu +4

High-level representation-guided pixel denoising and adversarial training are independent solutions to enhance the robustness of CNNs against adversarial attacks by pre-processing…

cs.CV20206 cited

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

Yihao Huang, Felix Juefei-Xu, Run Wang +7

At this moment, GAN-based image generation methods are still imperfect, whose upsampling design has limitations in leaving some certain artifact patterns in the synthesized image.…

cs.FL2019

Prema: A Tool for Precise Requirements Editing, Modeling and Analysis

Yihao Huang, Jincao Feng, Hanyue Zheng +5

We present Prema, a tool for Precise Requirement Editing, Modeling and Analysis. It can be used in various fields for describing precise requirements using formal notations and per…

cs.SE2018

SmartUnit: Empirical Evaluations for Automated Unit Testing of Embedded Software in Industry

Chengyu Zhang, Yichen Yan, Hanru Zhou +5

In this paper, we aim at the automated unit coverage-based testing for embedded software. To achieve the goal, by analyzing the industrial requirements and our previous work on aut…