Adversarially Robust Hypothesis Testing. - Yulu Jin; Lifeng Lai (ACSSC, 2019)

Test Set Optimization by Machine Learning Algorithms. - Kaiming Fu; Yulu Jin; Zhousheng Chen (IEEE BigData, 2020)

Privacy-Accuracy Trade-Off of Inference as Service. - Yulu Jin; Lifeng Lai (ICASSP, 2021)

On the Adversarial Robustness of Hypothesis Testing. - Yulu Jin; Lifeng Lai (IEEE Trans. Signal Process., 2021)

Privacy Protection In Learning Fair Representations. - Yulu Jin; Lifeng Lai (ICASSP, 2022)

Optimal Accuracy-Privacy Trade-Off of Inference as Service. - Yulu Jin; Lifeng Lai (IEEE Trans. Signal Process., 2022)

Adversarially Robust Fairness-Aware Regression. - Yulu Jin; Lifeng Lai (ICASSP, 2023)

Fairness-Aware Regression Robust to Adversarial Attacks. - Yulu Jin; Lifeng Lai (IEEE Trans. Signal Process., 2023)