Kaixiang Zhao

According to our database, Kaixiang Zhao authored at least 11 papers between 2025 and 2026.

Collaborative distances:

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

2026

LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning Distillation.

Tianrun Yu, Kaixiang Zhao, Chih-Chun Chen, Amanda Hughes, Taylor W. Killian, Fenglong Ma, Weitong Zhang, Porter Jenkins

CoRR, May, 2026

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?

Kaixiang Zhao, Bolin Shen, Yuyang Dai, Shayok Chakraborty, Yushun Dong

CoRR, May, 2026

FRAME: Forensic Routing and Adaptive Multi-path Evidence Fusion for Image Manipulation Detection.

Kaixiang Zhao, Tianrun Yu, Aoxu Zhang, Junhao Su, Porter Jenkins, Amanda Hughes

CoRR, May, 2026

FACTOR: Counterfactual Training-Free Test-Time Adaptation for Open-Vocabulary Object Detection.

Kaixiang Zhao, Mao Ye, Lihua Zhou, Hu Wang, Luping Ji, Song Tang, Xiatian Zhu

CoRR, May, 2026

Provable and Practical In-Context Policy Optimization for Self-Improvement.

Tianrun Yu, Yuxiao Yang, Zhaoyang Wang, Kaixiang Zhao, Porter Jenkins, Xuchao Zhang, Chetan Bansal, Huaxiu Yao, Weitong Zhang

CoRR, March, 2026

When the Server Steps In: Calibrated Updates for Fair Federated Learning.

Tianrun Yu, Kaixiang Zhao, Cheng Zhang, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang

Proceedings of the 24th International Symposium on Modeling and Optimization in Mobile, 2026

2025

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses.

Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong

CoRR, August, 2025

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives.

Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong

CoRR, August, 2025

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning.

Kaixiang Zhao, Joseph Yousry Attalla, Qian Lou, Yushun Dong

CoRR, July, 2025

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments.

Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong

CoRR, February, 2025

A Survey on Model Extraction Attacks and Defenses for Large Language Models.

Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025