Ming Zhang

According to our database, Ming Zhang authored at least 18 papers between 2015 and 2024.

Collaborative distances:

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

2024

Dynamic loss yielding more transferable targeted adversarial examples.

Ming Zhang, Yongkang Chen, Hu Li, Cheng Qian, Xiaohui Kuang

Neurocomputing, 2024

2023

Fooling Examples: Another Intriguing Property of Neural Networks.

Ming Zhang, Yongkang Chen, Cheng Qian

Sensors, July, 2023

2022

Dynamic and Diverse Transformations for Defending Against Adversarial Examples.

Yongkang Chen, Ming Zhang, Jin Li, Xiaohui Kuang, Xuhong Zhang, Han Zhang

Proceedings of the IEEE International Conference on Trust, 2022

Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients.

Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Black-Box Adversarial Attacks on Deep Neural Networks: A Survey.

Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

A Data-free Black-box Attack for Generating Transferable Adversarial Examples.

Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang, Han Zhang, Xuhong Zhang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2020

A Study on Mesh Hybrid Memory Cube Network.

Cheng Qian, Ming Zhang, Xiaohui Kuang, Gang Zhao

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Non-norm-bounded Attack for Generating Adversarial Examples.

Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Neuron Selecting: Defending Against Adversarial Examples in Deep Neural Networks.

Ming Zhang, Hu Li, Xiaohui Kuang, Ling Pang, Zhendong Wu

Proceedings of the Information and Communications Security - 21st International Conference, 2019

Kernel Vulnerability Analysis: A Survey.

Shuaibing Lu, Zhechao Lin, Ming Zhang

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models.

Xiaohui Kuang, Ming Zhang, Hu Li, Gang Zhao, Huayang Cao, Zhendong Wu, Xianmin Wang

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

Security Analysis of Intelligent Transportation Systems Based on Simulation Data.

Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Hu Li, Ming Zhang

Proceedings of the 1st International Conference on Data Intelligence and Security, 2018

2017

An Anomaly Detection Method Based on Multi-models to Detect Web Attacks.

Ming Zhang, Shuaibing Lu, Boyi Xu

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

A Deep Learning Method to Detect Web Attacks Using a Specially Designed CNN.

Ming Zhang, Boyi Xu, Shuai Bai, Shuaibing Lu, Zhechao Lin

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

针对SSL/TLS的典型攻击 (Review of Typical Attacks on SSL/TLS).

Ming Zhang, Boyi Xu, Yanlai Guo

计算机科学, 2015

An Anomaly Detection Model Based on One-Class SVM to Detect Network Intrusions.

Ming Zhang, Boyi Xu, Jie Gong

Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, 2015

Detecting network intrusion using Probabilistic Neural Network.

Ming Zhang, Junpeng Guo, Boyi Xu, Jie Gong

Proceedings of the 11th International Conference on Natural Computation, 2015

An Anomaly Detection Model for Network Intrusions Using One-Class SVM and Scaling Strategy.

Ming Zhang, Boyi Xu, Dongxia Wang

Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015