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Kai Zhou

Assistant Professor

The Hong Kong Polytechnic University

Hong Kong

Research Interests

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Professors in Artificial Intelligence

Articles (20)

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2026

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2024

Collaborators (8)

Xiaoge Zhang

Assistant Professor

The Hong Kong Polytechnic University

CHINA

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Yuwei Han

University of Illinois Chicago (UIC)

UNITED STATES

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Ka Chun Wong

City University of Hong Kong

HONG KONG

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Xiangtao Li

CANADA

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Yevgeniy Vorobeychik

Professor

Washington University in St. Louis

UNITED STATES

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Jian Ren

Michigan State University

UNITED STATES

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Yuchen Liu

Assistant Professor

North Carolina State University

UNITED STATES

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Tomasz Michalak

University of Warsaw

POLAND

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Kai Zhou

Research Interests

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Articles (20)

SOPA: Sensitivity-Oriented Poisoning Attack for Self-Supervised Graph Embedding Model via Bilevel Evolutionary Optimization

Adversarial Robustness of Link Sign Prediction in Signed Graphs

SemanAegis: Toward Credential-Aware Semantic Communication Against Knowledge Leakage Threats

Revisiting Adversarial Robustness of GNNs Against Structural Attacks: A Simple and Fast Approach

Toward Polymorphic Backdoor Against Semantic Communication via Intensity-Based Poisoning

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

Exploring Graph Neural Backdoors in Vehicular Networks: Fundamentals, Methodologies, Applications, and Future Perspectives

Robust Graph Contrastive Learning With Information Restoration

Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning

Backdoor-Empowered Regulable Privilege Authorization for Edge-Level Graph Learning in 6G Vehicular Networks

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model

HyperTTC: Hypergraph-Empowered Tactic-Specific Traffic Clustering for Atomized APT Detection

Interpretable Defense Against Structural Adversarial Attacks on Android Malware Detection

Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-Power Devices

Unleashing the power of indirect attacks against trust prediction via preferential path

A generic causality-informed neural network (CINN) methodology for quantitative risk analytics and decision support

A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network

Adversarial analysis of similarity-based sign prediction

Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning

COST AWARE UNTARGETED POISONING ATTACK AGAINST GRAPH NEURAL NETWORKS

Collaborators (8)

Xiaoge Zhang

Yuwei Han

Ka Chun Wong

Xiangtao Li

Yevgeniy Vorobeychik

Jian Ren

Yuchen Liu

Tomasz Michalak

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