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Yulu Jin

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2020 – today

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2023
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Yulu Jin, Lifeng Lai:
Fairness-Aware Regression Robust to Adversarial Attacks. IEEE Trans. Signal Process. 71: 4092-4105 (2023)
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Yulu Jin, Lifeng Lai:
Adversarially Robust Fairness-Aware Regression. ICASSP 2023: 1-5
2022
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Yulu Jin, Lifeng Lai:
Optimal Accuracy-Privacy Trade-Off of Inference as Service. IEEE Trans. Signal Process. 70: 4031-4046 (2022)
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Yulu Jin, Lifeng Lai:
Privacy Protection In Learning Fair Representations. ICASSP 2022: 2964-2968
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  - journals/corr/abs-2211-04449
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Yulu Jin, Lifeng Lai:
Fairness-aware Regression Robust to Adversarial Attacks. CoRR abs/2211.04449 (2022)
2021
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Yulu Jin, Lifeng Lai:
On the Adversarial Robustness of Hypothesis Testing. IEEE Trans. Signal Process. 69: 515-530 (2021)
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Yulu Jin, Lifeng Lai:
Privacy-Accuracy Trade-Off of Inference as Service. ICASSP 2021: 2645-2649
2020
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Kaiming Fu, Yulu Jin, Zhousheng Chen:
Test Set Optimization by Machine Learning Algorithms. IEEE BigData 2020: 5673-5675
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  - journals/corr/abs-2010-15240
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Kaiming Fu, Yulu Jin, Zhousheng Chen:
Test Set Optimization by Machine Learning Algorithms. CoRR abs/2010.15240 (2020)

2010 – 2019

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2019
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Yulu Jin, Lifeng Lai:
Adversarially Robust Hypothesis Testing. ACSSC 2019: 1806-1810

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