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Conference Sep 2026

Enhancing adversarial defense robustness through sensitive prediction region mining

This paper examines the response characteristics of intelligent learning models to sensitive adversarial samples in white-box attack scenarios and introduces a robust feature extraction mechanism based on the stability of sensitive samples, and designs a robust training frame work that incorporates sensitive sample min...

Qian Li, Di Wu, Saiyu Qi et al. · 0 citations
2026

Search as You Want: Authenticated Keyword Search on Graphs With Bounded Leakage

Large-scale graph data are widely used in research and industry, where keyword search serves as a fundamental query paradigm. To reduce costs, data owners commonly outsource graph storage and query processing to cloud service providers, raising concerns about result integrity. Recently, an authenticated graph keyword s...

Hong-Guang Zhao, Xu Yang, Saiyu Qi et al. · 0 citations

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