On the resilience of traffic networks under non-equilibrium learning Y Pan, T Li, Q Zhu 2023 American Control Conference (ACC), 3484-3489, 2023 | 6 | 2023 |
A first order meta stackelberg method for robust federated learning Y Pan, T Li, H Li, T Xu, Z Zheng, Q Zhu arXiv preprint arXiv:2306.13800, 2023 | 5 | 2023 |
On poisoned wardrop equilibrium in congestion games Y Pan, Q Zhu International Conference on Decision and Game Theory for Security, 191-211, 2022 | 5 | 2022 |
Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study Y Pan, T Li, Q Zhu 2023 62nd IEEE Conference on Decision and Control (CDC), 8328-8333, 2023 | 3 | 2023 |
Masage: Model-agnostic sequential and adaptive game estimation Y Pan, G Peng, J Chen, Q Zhu International Conference on Decision and Game Theory for Security, 365-384, 2020 | 3 | 2020 |
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks T Li, Y Pan, Q Zhu arXiv preprint arXiv:2310.01675, 2023 | 2 | 2023 |
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) H Li, T Xu, T Li, Y Pan, Q Zhu, Z Zheng arXiv preprint arXiv:2306.13273, 2023 | 1 | 2023 |
Efficient episodic learning of nonstationary and unknown zero-sum games using expert game ensembles Y Pan, Q Zhu 2021 60th IEEE Conference on Decision and Control (CDC), 1669-1676, 2021 | 1 | 2021 |
On the Variational Interpretation of Mirror Play in Monotone Games Y Pan, T Li, Q Zhu arXiv preprint arXiv:2403.15636, 2024 | | 2024 |
Towards Universal Robust Federated Learning via Meta Stackelberg Game H Li, T Li, Y Pan, T Xu, Q Zhu, Z Zheng | | 2023 |