PPaperPicks

Haibo Hu

Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Kowloon

44 papers at tracked venues · 41 at CORE A* · active 2024–2026

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Venues

ICDE ×14AAAI ×6VLDB ×4WWW ×4ACL ×3SIGKDD ×3ICCV ×2NeurIPS ×2SIGMOD ×2CIKM ×1ECAI ×1EMNLP ×1ICML ×1

Frequent coauthors

Zi Liang
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Sen Zhang
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Yaxin Xiao
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Xiaoyu Xu
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Haixin Wang
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Rong Du
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Yulian Mao
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Haobin Ke
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Yingbin Jin
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Ce Zhang
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Xiuling Wang
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Jiang Zhu
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Papers

  1. Adversarial Signed Graph Learning with Differential Privacy
    SIGKDD 2026 ·
    Haobin Ke
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  2. AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search
    ACL 2026 ·
    Yingbin Jin
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  3. Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
    AAAI 2026 ·
    Yaxin Xiao
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  4. Cole ${ }{+}$: Towards Practical Column-Based Learned Storage for Blockchain Systems
    ICDE 2026 ·
    Ce Zhang
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  5. Communication-efficient Federated Graph Classification via Generative Diffusion Modeling
    SIGKDD 2026 ·
    Xiuling Wang
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  6. DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
    AAAI 2026 ·
    Jiang Zhu
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  7. Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs
    WWW 2026 ·
    Zhiyao Wu
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  8. From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning
    ACL 2026 ·
    Xiaoyu Xu
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  9. How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency
    WWW 2026 ·
    Weizheng Wang
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  10. How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
    AAAI 2026 ·
    Zi Liang
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  11. Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
    AAAI 2026 ·
    Yulin Jin
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  12. "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
    ACL 2025 ·
    Zi Liang
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  13. A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
    AAAI 2025 ·
    Haoyang Li
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  14. AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model
    ICDE 2025 ·
    Sen Zhang
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  15. Analyzing and Optimizing Perturbation of DP-SGD Geometrically
    ICDE 2025 ·
    Jiawei Duan
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  16. Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need
    SIGMOD 2025 ·
    Haixin Wang
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  17. Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
    ICDE 2025 ·
    Xi He
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  18. Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
    ICML 2025 ·
    Zi Liang
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  19. Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy
    ICDE 2025 ·
    Rong Du
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  20. Exploring Intrinsic Alignments Within Text Corpus
    AAAI 2025 ·
    Zi Liang
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  21. FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
    WWW 2025 ·
    Zitong Li
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  22. Federated Continuous Category Discovery and Learning
    ICCV 2025 ·
    Lixu Wang
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  23. Federated Heavy Hitter Analytics with Local Differential Privacy
    SIGMOD 2025 ·
    Yuemin Zhang
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  24. Hypercomplex Prompt-aware Multimodal Recommendation
    CIKM 2025 ·
    Zheyu Chen
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  25. MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective
    WWW 2025 ·
    Xinwei Zhang
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  26. Multi-Class Item Mining Under Local Differential Privacy
    ICDE 2025 ·
    Yulian Mao
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  27. OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
    EMNLP 2025 ·
    Xiaoyu Xu
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  28. PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs
    VLDB 2025 ·
    Songlei Wang
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  29. PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
    SIGKDD 2025 ·
    Sen Zhang
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  30. PrivIM: Differentially Private Graph Neural Networks for Influence Maximization
    ICDE 2025 ·
    Renxuan Hou
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  31. Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
    VLDB 2025 ·
    Rong Du
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  32. Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
    ICCV 2025 ·
    Yaxin Xiao
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  33. Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy
    ICDE 2025 ·
    Sen Zhang
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  34. Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
    NeurIPS 2025 ·
    Li Bai
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  35. Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
    NeurIPS 2025 ·
    Zi Liang
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  36. DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
    VLDB 2024 ·
    Jie Fu
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  37. Differentially Private Graph Neural Networks for Link Prediction
    ICDE 2024 ·
    Xun Ran
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  38. FRESH: Towards Efficient Graph Queries in an Outsourced Graph
    ICDE 2024 ·
    Kai Huang
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  39. Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
    ICDE 2024 ·
    Yue Fu
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  40. LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy
    ICDE 2024 ·
    Xinyue Sun
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  41. PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy
    VLDB 2024 ·
    Leixia Wang
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  42. PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy
    ICDE 2024 ·
    Yulian Mao
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  43. TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack
    ECAI 2024 ·
    Yanyun Wang
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  44. V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication
    ICDE 2024 ·
    Haixin Wang
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