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Fred Lu

Differentially Private Iterative Screening Rules for Linear Regression

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Feb 25, 2025
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Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection

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Nov 27, 2024
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Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

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Oct 31, 2024
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High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates

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Jul 08, 2024
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Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification

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Jun 03, 2024
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Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

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Dec 25, 2023
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Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations

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Oct 30, 2023
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Exploring the Sharpened Cosine Similarity

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Jul 25, 2023
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Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile

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Jun 27, 2023
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Sparse Private LASSO Logistic Regression

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Apr 29, 2023
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