activity
20222024
most citedA First Order Meta Stackelberg Method for Robust Federated Learning

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2024

On the Variational Interpretation of Mirror Play in Monotone Games

Yunian Pan, Tao Li, Quanyan Zhu

Mirror play (MP) is a well-accepted primal-dual multi-agent learning algorithm where all agents simultaneously implement mirror descent in a distributed fashion. The advantage of M…

cs.CR2023

Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks

Tao Li, Yunian Pan, Quanyan Zhu

Multi-domain warfare is a military doctrine that leverages capabilities from different domains, including air, land, sea, space, and cyberspace, to create a highly interconnected b…

cs.LG20236 cited

A First Order Meta Stackelberg Method for Robust Federated Learning

Yunian Pan, Tao Li, Henger Li +3

Previous research has shown that federated learning (FL) systems are exposed to an array of security risks. Despite the proposal of several defensive strategies, they tend to be no…

cs.LG20231 cited

Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study

Yunian Pan, Tao Li, Quanyan Zhu

\textit{Intelligent Navigation Systems} (INS) are exposed to an increasing number of informational attack vectors, which often intercept through the communication channels between…

cs.GT2022

On Poisoned Wardrop Equilibrium in Congestion Games

Yunian Pan, Quanyan Zhu

Recent years have witnessed a growing number of attack vectors against increasingly interconnected traffic networks. Informational attacks have emerged as the prominent ones that a…