Hangcheng Liu

According to our database, Hangcheng Liu authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover.

Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao

Swarm Evol. Comput., 2024

TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability.

Hao Wang, Tao Xiang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang

CoRR, 2024

2023

Evolutionary architecture search via adaptive parameter control and gene potential contribution.

Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin

Swarm Evol. Comput., October, 2023

Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Wenjian He, Xiaofeng Liao

ACM Trans. Intell. Syst. Technol., August, 2023

Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou

Neural Comput. Appl., March, 2023

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding.

Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao

IEEE Trans. Inf. Forensics Secur., 2023

Learning-aware feature denoising discriminator.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye

Inf. Fusion, 2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding.

Han Li, Hangcheng Liu, Shangwei Guo, Mingliang Zhou, Ning Wang, Tao Xiang, Tianwei Zhang

CoRR, 2023

Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models.

Jialing He, Zhen Qin, Hangcheng Liu, Shangwei Guo, Biwen Chen, Ning Wang, Tao Xiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

ELAA: An efficient local adversarial attack using model interpreters.

Shangwei Guo, Siyuan Geng, Tao Xiang, Hangcheng Liu, Ruitao Hou

Int. J. Intell. Syst., December, 2022

EGM: An Efficient Generative Model for Unrestricted Adversarial Examples.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Xiaofeng Liao

ACM Trans. Sens. Networks, November, 2022

Evolutionary neural architecture search based on evaluation correction and functional units.

Ronghua Shang, Songling Zhu, Jinhong Ren, Hangcheng Liu, Licheng Jiao

Knowl. Based Syst., 2022

Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Hantao Liu, Tianwei Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Convolutional Neural Network for Visual Security Evaluation.

Ying Yang, Tao Xiang, Hangcheng Liu, Xiaofeng Liao

IEEE Trans. Circuits Syst. Video Technol., 2021

PEEL: A Provable Removal Attack on Deep Hiding.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang

CoRR, 2021

Local Black-box Adversarial Attacks: A Query Efficient Approach.

Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao

CoRR, 2021

PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images.

Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Teacher-Supervised Generative Adversarial Networks.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance.

Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo

IEEE Trans. Circuits Syst. Video Technol., 2020