Zikang Ding

According to our database, Zikang Ding authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

UGID: Unified Graph Isomorphism for Debiasing Large Language Models.

Zikang Ding, Junchi Yao, Junhao Li, Yi Zhang, Wenbo Jiang, Hongbo Liu, Lijie Hu

CoRR, March, 2026

Functional Subspace Watermarking for Large Language Models.

Zikang Ding, Junhao Li, Suling Wu, Junchi Yao, Hongbo Liu, Lijie Hu

CoRR, March, 2026

FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering.

Zikang Ding, Qiying Hu, Yi Zhang, Hongji Li, Junchi Yao, Hongbo Liu, Lijie Hu

CoRR, March, 2026

Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models.

Zikang Ding, Haomiao Yang, Meng Hao, Wenbo Jiang, Kunlan Xiang, Runmeng Du, Yijing Liu, Ruichen Zhang, Dusit Niyato

CoRR, March, 2026

Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO.

Junchi Yao, Lokranjan Lakshmikanthan, Annie Zhao, Danielle Zhao, Shu Yang, Zikang Ding, Di Wang, Lijie Hu

CoRR, January, 2026

Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning.

Shiyue Huang, Yuchen Su, Hongbo Liu, Zikang Ding, Xuewan He, Yanzhi Ren, Haitao Jia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Privacy-Preserving Short-Term Travel Demand Forecasting Based on Federated Learning.

Runmeng Du, Daojing He, Yan Song, Zikang Ding, Sammy Chan, Xuru Li

IEEE Trans. Veh. Technol., July, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang

CoRR, February, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang

IEEE Trans. Inf. Forensics Secur., 2025

PPEC: A Privacy-Preserving, Cost-Effective Incremental Density Peak Clustering Analysis on Encrypted Outsourced Data.

Haomiao Yang, Zikang Ding, Ruiheng Lu, Kunlan Xiang, Hongwei Li, Dakui Wu

IEEE Trans. Cloud Comput., 2025

2024

GSASG: Global Sparsification With Adaptive Aggregated Stochastic Gradients for Communication-Efficient Federated Learning.

Runmeng Du, Daojing He, Zikang Ding, Miao Wang, Sammy Chan, Xuru Li

IEEE Internet Things J., September, 2024

A Lightweight and Secure Communication Protocol for the IoT Environment.

Zikang Ding, Daojing He, Qi Qiao, Xuru Li, Yun Gao, Sammy Chan, Kim-Kwang Raymond Choo

IEEE Trans. Dependable Secur. Comput., 2024

2023

A lightweight and efficient model for surface tiny defect detection.

Zhilong Yu, Yuxiang Wu, Binqian Wei, Zikang Ding, Fei Luo

Appl. Intell., March, 2023