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Tiejin Chen

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape

Mar 09, 2024
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Privacy-preserving Fine-tuning of Large Language Models through Flatness

Mar 07, 2024
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When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization

Jan 11, 2024
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Uncertainty Regularized Evidential Regression

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Jan 03, 2024
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Open-TI: Open Traffic Intelligence with Augmented Language Model

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Dec 30, 2023
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Federated Learning with Projected Trajectory Regularization

Dec 22, 2023
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Learning Sparsity and Randomness for Data-driven Low Rank Approximation

Dec 15, 2022
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