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. Hide-And-Seek-Pair: Efficient Two-Stage Privacy-Preserving Deep Entity Resolution. 35th International ACM Conference on Knowledge and Information Management (CIKM), 2026.

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. Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. Network and Distributed System Security Symposium (NDSS) Workshop, 2026.

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. Efficient Privacy-Preserving Federated Learning With Selective Parameter Encryption. The 1st International Conference on Giving Up Recycling Papers (ICGURP), 2025.

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. FedGraph: A Research Library and Benchmark for Federated Graph Learning. NeurIPS 2025 New Perspectives in Advancing Graph Machine Learning Workshop, 2025.

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. Efficient Privacy-Preserving Network Path Validation. The 34th International Conference on Computer Communications and Networks (ICCCN), 2025.

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. Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution. Transactions on Machine Learning Research (TMLR), 2025.

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. FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024.

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. FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. NeurIPS 2023 Federated Learning Workshop, 2023.

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. FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

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. Cross-Region Privacy-Preserving Federated Tabular Learning. AMLC, 2023.

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