11 citations · 39 across the 30 of their papers we have counts for
8 papers · 1 filter
Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation
Ya-Ting Yang, Tao Li, Quanyan Zhu
Social network platforms (SNP) rely heavily on user-generated content to attract users, yet they have limited control over content provision, which leads to misinformation. As coun…
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…
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
Tao Li, Kim Hammar, Rolf Stadler +1
Asymmetric information stochastic games (AISGs) arise in many complex socio-technical systems, such as cyber-physical systems and IT infrastructures. Existing computational methods…
Automated Security Response through Online Learning with Adaptive Conjectures
Kim Hammar, Tao Li, Rolf Stadler +1
We study automated security response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed, non-stationary game. We rela…
Designing Policies for Truth: Combating Misinformation with Transparency and Information Design
Ya-Ting Yang, Tao Li, Quanyan Zhu
Misinformation has become a growing issue on online social platforms (OSPs), especially during elections or pandemics. To combat this, OSPs have implemented various policies, such…
On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling
Tao Li, Quanyan Zhu
Transparency of information disclosure has always been considered an instrumental component of effective governance, accountability, and ethical behavior in any organization or sys…
Commitment with Signaling under Double-sided Information Asymmetry
Tao Li, Quanyan Zhu
Information asymmetry in games enables players with the information advantage to manipulate others' beliefs by strategically revealing information to other players. This work consi…
Distributed Machine Learning with Strategic Network Design: A Game-Theoretic Perspective
Shutian Liu, Tao Li, Quanyan Zhu
This paper considers a game-theoretic framework for distributed machine learning problems over networks where the information acquisition at a node is modeled as a rational choice…