Inspector Gadget: A Data Programming-based Labeling System for Industrial Images (VLDB '21)

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Quilt: Robust Data Segment Selection against Concept Drifts (AAAI'24)

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Redactor: A Data-centric and Individualized Defense Against Inference Attacks (AAAI '23)

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RegMix: Data Mixing Augmentation for Regression (ArXiv)

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Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach (DEEM@ACM SIGMOD

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Inference Attacks (AAAI '23)

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Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach (DEEM@ACM SIGMOD '19)

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Data Validation for Machine Learning (MLSys '19)

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Improving Fair Training under Correlation Shifts (ICML '23)

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Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data (TMLR '23)

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