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2020 – today
- 2024
[j11]Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao:
An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. Swarm Evol. Comput. 86: 101520 (2024)- [i5]Hao Wang, Tao Xiang, Shangwei Guo, Jialing He, Hangcheng Liu, Tianwei Zhang:
TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability. CoRR abs/2401.15883 (2024) - 2023
- [j10]Yan Gan, Tao Xiang
, Hangcheng Liu, Mao Ye:
Learning-aware feature denoising discriminator. Inf. Fusion 89: 143-154 (2023) - [j9]Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou:
Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis. Neural Comput. Appl. 35(8): 6197-6206 (2023) - [j8]Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin:
Evolutionary architecture search via adaptive parameter control and gene potential contribution. Swarm Evol. Comput. 82: 101354 (2023) - [j7]Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao:
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. IEEE Trans. Inf. Forensics Secur. 18: 5229-5242 (2023) - [j6]Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Wenjian He, Xiaofeng Liao:
Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework. ACM Trans. Intell. Syst. Technol. 14(4): 58:1-58:25 (2023) - [c4]Jialing He, Zhen Qin, Hangcheng Liu, Shangwei Guo, Biwen Chen, Ning Wang, Tao Xiang:
Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models. ICME 2023: 354-359 - [i4]Han Li, Hangcheng Liu, Shangwei Guo, Mingliang Zhou, Ning Wang, Tao Xiang, Tianwei Zhang:
Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding. CoRR abs/2302.11918 (2023) - [i3]Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao:
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. CoRR abs/2308.01512 (2023) - 2022
- [j5]Shangwei Guo, Siyuan Geng, Tao Xiang, Hangcheng Liu, Ruitao Hou:
ELAA: An efficient local adversarial attack using model interpreters. Int. J. Intell. Syst. 37(12): 10598-10620 (2022) - [j4]Ronghua Shang, Songling Zhu, Jinhong Ren, Hangcheng Liu, Licheng Jiao:
Evolutionary neural architecture search based on evaluation correction and functional units. Knowl. Based Syst. 251: 109206 (2022) - [j3]Tao Xiang, Hangcheng Liu, Shangwei Guo, Yan Gan, Xiaofeng Liao:
EGM: An Efficient Generative Model for Unrestricted Adversarial Examples. ACM Trans. Sens. Networks 18(4): 51:1-51:25 (2022) - [c3]Tao Xiang, Hangcheng Liu, Shangwei Guo, Hantao Liu, Tianwei Zhang:
Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks. ACM Multimedia 2022: 2777-2785 - 2021
- [j2]Ying Yang, Tao Xiang, Hangcheng Liu, Xiaofeng Liao:
Convolutional Neural Network for Visual Security Evaluation. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3293-3307 (2021) - [c2]Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu:
Teacher-Supervised Generative Adversarial Networks. ICME 2021: 1-6 - [c1]Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu:
PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images. ACM Multimedia 2021: 3537-3545 - [i2]Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao:
Local Black-box Adversarial Attacks: A Query Efficient Approach. CoRR abs/2101.01032 (2021) - [i1]Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang:
PEEL: A Provable Removal Attack on Deep Hiding. CoRR abs/2106.02779 (2021) - 2020
- [j1]Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo:
Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4129-4142 (2020)
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