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Kevin Choi

Privacy Drift: Evolving Privacy Concerns in Incremental Learning

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Dec 06, 2024
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Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning

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Jul 26, 2024
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Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space

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Jan 02, 2024
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FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks

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Dec 04, 2023
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MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning

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Nov 28, 2023
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A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention

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Jun 06, 2023
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Thistle: A Vector Database in Rust

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Mar 25, 2023
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Zero Day Threat Detection Using Metric Learning Autoencoders

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Nov 01, 2022
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Anomaly Detection via Federated Learning

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Oct 12, 2022
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Lateral Movement Detection Using User Behavioral Analysis

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Aug 29, 2022
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