Hanwei ZHANG
 |
PhD, |
About me
I am a Ph.D student of PRogram Of Sino-French Education for Research (PROSFER) between East China Normal University and École normale supérieure de Rennes. I work at INRIA/IRISA Rennes under the supervision of Laurent Amsaleg, Yannis Avrithis and Teddy Furon in the Linkmedia team. During the Ph.D, my research focuses on the security problem in machine learning. Currently, my work has mainly focused on adversarial examples for deep learning systems.
Before coming to INRIA/IRISA, I worked on Multi-objective Evolutionary Computation with Aimin Zhou from 2015-2017. And I received my bachelor's degree in 2015 from the Department of Computer Science and Technology, East China Normal University.
Research
My research interests include
Adversarial Machine Learning
Deep Learning
Evolutionary Algorithm
Machine Learning
Recent Publications
H. Zhang, Y. Avrithis, T. Furon, L. Amsaleg, "Walking on the Edge: Fast, Low-Distortion Adversarial Examples", IEEE Transactions on Information Forensics and Security 16, 701-713, 2020. [code]
H. Zhang, Y. Avrithis, T. Furon, L. Amsaleg, "Smooth Adversarial Examples", EURASIP Journal on Information Security (1), 1-12, 2020.[code]
H. Zhang, A. Zhou, "Tree-Structured Decomposition and Adaptation in MOEA/D", International Conference on Parallel Problem Solving from Nature, 359-371, 2018.
H. Zhang, A. Zhou, G. Zhang, HK. Singh, "Accelerating MOEA/D by Nelder-Mead method", IEEE Congress on Evolutionary Computation (CEC), 976-983, 2017.[code]