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Khoa Nguyen

Sampling Foundational Transformer: A Theoretical Perspective

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Aug 11, 2024
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SAMSA: Efficient Transformer for Many Data Modalities

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Aug 10, 2024
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Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training

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Mar 06, 2024
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GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

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Jan 26, 2024
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Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption

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Sep 19, 2023
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Split Without a Leak: Reducing Privacy Leakage in Split Learning

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Aug 30, 2023
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Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

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Jan 20, 2023
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Iterative Joint Parameters Estimation and Decoding in a Distributed Receiver for Satellite Applications and Relevant Cramer-Rao Bounds

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Jan 23, 2022
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Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning

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Jul 06, 2020
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