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Dongfang Zhao — most-cited papers & profile · AI for Code
← authors
·
overview
Dongfang Zhao
16
papers ·
10
citations ·
20
h-index
University of Washington · Indiana University Bloomington · University of Washington Tacoma
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Semantic Scholar ↗
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Most-cited papers
FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation
2024 · 4 citations
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
2024 · 3 citations
Approximate Hausdorff Distance for Multi-Vector Databases
2025 · 1 citations
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems
2022 · 1 citations
Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning
2023 · 1 citations
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
2026
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
2026
MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
2026
RAE: A Neural Network Dimensionality Reduction Method for Nearest Neighbors Preservation in Vector Search
2025
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
2025
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
2025
A Note on Efficient Privacy-Preserving Similarity Search for Encrypted Vectors
2025
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning
2022
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
2023
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
2023
Topics
Federated Learning
Encryption
Privacy
ANN Search
Security
Adversarial ML
Vulnerability Detection
Threat Intelligence
cs.CR
Unsupervised Hashing