Qian Li

According to our database, Qian Li authored at least 29 papers between 2013 and 2025.

Collaborative distances:

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

2025

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Zhengyu Zhao, Zhe Peng, Run Wang, Liming Fang, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2025

2024

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization.

Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code.

Yulong Yang, Haoran Fan, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection.

Chenhao Lin, Fangbin Yi, Hang Wang, Jingyi Deng, Zhengyu Zhao, Qian Li, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Attention-SA: Exploiting Model-Approximated Data Semantics for Adversarial Attack.

Qian Li, Qingyuan Hu, Haoran Fan, Chenhao Lin, Chao Shen, Libing Wu

IEEE Trans. Inf. Forensics Secur., 2024

Truth: A Blockchain-Aided Secure Reputation System With Genuine Feedbacks.

Saiyu Qi, Yue Li, Wei Wei, Qian Li, Qiao Ke, Yong Qi

IEEE Trans. Engineering Management, 2024

LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection.

Jiwei Tian, Chao Shen, Buhong Wang, Xiaofang Xia, Meng Zhang, Chenhao Lin, Qian Li

IEEE Trans. Dependable Secur. Comput., 2024

Towards Gradient-Based Saliency Consensus Training for Adversarial Robustness.

Qian Li, Chao Shen, Qingyuan Hu, Chenhao Lin, Xiang Ji, Saiyu Qi

IEEE Trans. Dependable Secur. Comput., 2024

A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations.

Yulong Yang, Haoran Fan, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen, Xiaohong Guan

CoRR, 2024

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval.

Qiwei Tian, Chenhao Lin, Zhengyu Zhao, Qian Li, Chao Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving.

Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FedMCSA: Personalized federated learning via model components self-attention.

Qi Guo, Yong Qi, Saiyu Qi, Di Wu, Qian Li

Neurocomputing, December, 2023

Sensitive region-aware black-box adversarial attacks.

Chenhao Lin, Sicong Han, Jiongli Zhu, Qian Li, Chao Shen, Youwei Zhang, Xiaohong Guan

Inf. Sci., August, 2023

Revisiting Gradient Regularization: Inject Robust Saliency-Aware Weight Bias for Adversarial Defense.

Qian Li, Qingyuan Hu, Chenhao Lin, Di Wu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2023

Understanding and defending against White-box membership inference attack in deep learning.

Di Wu, Saiyu Qi, Yong Qi, Qian Li, Bowen Cai, Qi Guo, Jingxian Cheng

Knowl. Based Syst., 2023

Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval.

Qiwei Tian, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen

CoRR, 2023

Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning.

Yulong Yang, Chenhao Lin, Xiang Ji, Qiwei Tian, Qian Li, Hongshan Yang, Zhibo Wang, Chao Shen

CoRR, 2023

Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection.

Chenhao Lin, Fangbin Yi, Hang Wang, Qian Li, Jingyi Deng, Chao Shen

CoRR, 2023

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Chao Shen, Run Wang, Liming Fang

CoRR, 2023

Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths.

Yulong Yang, Chenhao Lin, Qian Li, Chao Shen, Dawei Zhou, Nannan Wang, Tongliang Liu

CoRR, 2023

End-to-end Face-swapping via Adaptive Latent Representation Learning.

Chenhao Lin, Pengbin Hu, Chao Shen, Qian Li

CoRR, 2023

2022

Correction to: Multi-level word features based on CNN for fake news detection in cultural communication.

Qingyuan Hu, Qian Li, Youshui Lu, Yue Yang, Jingxian Cheng

Pers. Ubiquitous Comput., 2022

Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label.

Qian Li, Qingyuan Hu, Saiyu Qi, Yong Qi, Di Wu, Yun Lin, Jin Song Dong

Knowl. Based Syst., 2022

FLMJR: Improving Robustness of Federated Learning via Model Stability.

Qi Guo, Di Wu, Yong Qi, Saiyu Qi, Qian Li

Proceedings of the Computer Security - ESORICS 2022, 2022

2021

Adversarial Adaptive Neighborhood With Feature Importance-Aware Convex Interpolation.

Qian Li, Yong Qi, Qingyuan Hu, Saiyu Qi, Yun Lin, Jin Song Dong

IEEE Trans. Inf. Forensics Secur., 2021

Semi-supervised two-phase familial analysis of Android malware with normalized graph embedding.

Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Xinxing Liu, Pengfei Gao

Knowl. Based Syst., 2021

2020

Multi-level word features based on CNN for fake news detection in cultural communication.

Qian Li, Qingyuan Hu, Youshui Lu, Yue Yang, Jingxian Cheng

Pers. Ubiquitous Comput., 2020

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer.

Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2013

Multi-view semi-supervised web image classification via co-graph.

Youtian Du, Qian Li, Zhongmin Cai, Xiaohong Guan

Neurocomputing, 2013