Kangyi Ding

According to our database, Kangyi Ding authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Attack detection model for BCoT based on contrastive variational autoencoder and metric learning.

Chunwang Wu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, Cheng Huang

J. Cloud Comput., December, 2024

An Adversarial Example Defense Algorithm for Intelligent Driving.

Jiazhong Lu, Chenli Wang, Yuanyuan Huang, Kangyi Ding, Xiaolei Liu

IEEE Netw., November, 2024

2023

A Novel Generation Method for Diverse Privacy Image Based on Machine Learning.

Weina Niu, Yuheng Luo, Kangyi Ding, Xiaosong Zhang, Yanping Wang, Beibei Li

Comput. J., March, 2023

Launching a Robust Backdoor Attack under Capability Constrained Scenarios.

Ming Yi, Yixiao Xu, Kangyi Ding, Mingyong Yin, Xiaolei Liu

CoRR, 2023

Black-box Word-level Textual Adversarial Attack Based On Discrete Harris Hawks Optimization.

Tianrui Wang, Weina Niu, Kangyi Ding, Lingfeng Yao, Pengsen Cheng, Xiaosong Zhang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions.

Yixiao Xu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin

Sensors, 2022

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks.

Kangyi Ding, Teng Hu, Weina Niu, Xiaolei Liu, Junpeng He, Mingyong Yin, Xiaosong Zhang

Sensors, 2022

Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models.

Kangyi Ding, Teng Hu, Xiaolei Liu, Weina Niu, Yanping Wang, Xiaosong Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection.

Yixiao Xu, Xiaolei Liu, Mingyong Yin, Teng Hu, Kangyi Ding

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A low-query black-box adversarial attack based on transferability.

Kangyi Ding, Xiaolei Liu, Weina Niu, Teng Hu, Yanping Wang, Xiaosong Zhang

Knowl. Based Syst., 2021

2020

OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning.

Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li

Sensors, 2020

Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats.

Teng Hu, Bangzhou Xin, Xiaolei Liu, Ting Chen, Kangyi Ding, Xiaosong Zhang

Sensors, 2020

A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm.

Xiaolei Liu, Teng Hu, Kangyi Ding, Yang Bai, Weina Niu, Jiazhong Lu

Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020