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Researcher profile

Kui Ren

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Ensuring Security and Privacy Preservation for Cloud Data Services

    2016 · ACM Computing Surveys

    With the rapid development of cloud computing, more and more enterprises/individuals are starting to outsource local data to the cloud servers. However, under open networks and not fully trusted cloud environments, they face enormous security …

  2. Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval

    2017

    A massive explosion of various types of data has been triggered in the “Big Data” era. In big data systems, machine learning plays an important role due to its effectiveness in discovering hidden information and …

  3. FDINet: Protecting against DNN Model Extraction via Feature Distortion Index

    2023 · arXiv (Cornell University)

    Machine Learning as a Service (MLaaS) platforms have gained popularity due to their accessibility, cost-efficiency, scalability, and rapid development capabilities. However, recent research has highlighted the vulnerability of cloud-based models in MLaaS to model extraction …

  4. Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning

    2024 · arXiv (Cornell University)

    Federated Learning (FL) exhibits privacy vulnerabilities under gradient inversion attacks (GIAs), which can extract private information from individual gradients. To enhance privacy, FL incorporates Secure Aggregation (SA) to prevent the server from obtaining individual gradients, …

  5. Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework

    2024 · arXiv (Cornell University)

    Natural language processing (NLP) has seen remarkable advancements with the development of large language models (LLMs). Despite these advancements, LLMs often produce socially biased outputs. Recent studies have mainly addressed this problem by prompting LLMs …

  6. SPAS: Continuous Release of Data Streams under w-Event Differential Privacy

    2025 · Proceedings of the ACM on Management of Data

    Continuous release of data streams is frequently used in numerous applications. However, when data is sensitive, this poses privacy risks. To mitigate this risk, efforts have been devoted to devising techniques that satisfy a formal …