Hui Liu

According to our database, Hui Liu authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks.

Hui Liu, Ling Ding, Jiageng Chen, Jinghua Wang, Xu Du, Jiabao Guo

ACM Trans. Intell. Syst. Technol., February, 2026

WARP: A Word-Level Backdoor Attack Targeting RAG Systems via Retrieval Corpus Poisoning.

Hui Liu, Yibo Zhou, Liguo Dong, Weidong Li, Shui Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Research on Runtime Memory Space Reconstruction Techniques for Source-Unavailable Programs on AArch64.

Hui Liu, Guoqing Peng, Peng Liu, Bo Zhao, Jiahao Fan

IEEE Internet Things J., September, 2025

Patronus: Plug-and-Play and Near-Lossless Facial Privacy Enhancement Against Reconstruction Attacks.

Hui Liu, Hongqin Du, Jiageng Chen, Jinghua Wang, Ke Zhang, Kehuan Zhang, Peng Liu

IEEE Trans. Inf. Forensics Secur., 2025

2024

A lightweight unsupervised adversarial detector based on autoencoder and isolation forest.

Hui Liu, Bo Zhao, Jiabao Guo, Kehuan Zhang, Peng Liu

Pattern Recognit., March, 2024

Style-conditional Prompt Token Learning for Generalizable Face Anti-spoofing.

Jiabao Guo, Huan Liu, Yizhi Luo, Xueli Hu, Hang Zou, Yuan Zhang, Hui Liu, Bo Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

DeepDual-SD: Deep Dual Attribute-Aware Embedding for Binary Code Similarity Detection.

Jiabao Guo, Bo Zhao, Hui Liu, Dongdong Leng, Yang An, Gangli Shu

Int. J. Comput. Intell. Syst., December, 2023

2022

GreedyFool: Multi-factor imperceptibility and its application to designing a black-box adversarial attack.

Hui Liu, Bo Zhao, Minzhi Ji, Mengchen Li, Peng Liu

Inf. Sci., 2022

Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples.

Hui Liu, Bo Zhao, Kehuan Zhang, Peng Liu

CoRR, 2022

Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection.

Hui Liu, Bo Zhao, Yuefeng Peng, Weidong Li, Peng Liu

CoRR, 2022

Feature-filter: Detecting adversarial examples by filtering out recessive features.

Hui Liu, Bo Zhao, Minzhi Ji, Yuefeng Peng, Jiabao Guo, Peng Liu

Appl. Soft Comput., 2022

2021

Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features.

Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu

CoRR, 2021

2020

A Lightweight Image Encryption Algorithm Based on Message Passing and Chaotic Map.

Hui Liu, Bo Zhao, Jianwen Zou, Linquan Huang, Yifan Liu

Secur. Commun. Networks, 2020

FoolChecker: A platform to evaluate the robustness of images against adversarial attacks.

Hui Liu, Bo Zhao, Linquan Huang, Jiabao Guo, Yifan Liu

Neurocomputing, 2020

GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks.

Hui Liu, Bo Zhao, Jiabao Guo, Yang An, Peng Liu

CoRR, 2020

2019

A novel quantum image encryption algorithm based on crossover operation and mutation operation.

Hui Liu, Bo Zhao, Linquan Huang

Multim. Tools Appl., 2019

Quantum Image Encryption Scheme Using Arnold Transform and S-box Scrambling.

Hui Liu, Bo Zhao, Linquan Huang

Entropy, 2019

A Remote-Sensing Image Encryption Scheme Using DNA Bases Probability and Two-Dimensional Logistic Map.

Hui Liu, Bo Zhao, Linquan Huang

IEEE Access, 2019