Image de couverture de livre

Attacking and Securing Community Detection: A Game-Theoretic Framework

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Niu, Yifan, Chen, Aochuan, Xu, Tingyang, Li, Jia
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computer Science and Game Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
par: An, Zijian, et autres
Publié: (2025)

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
par: Aung, Aye Phyu Phyu, et autres
Publié: (2024)

MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
par: Nöther, Jonathan, et autres
Publié: (2026)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
par: Wang, Jianhong, et autres
Publié: (2025)

Distributional Alignment Games for Answer-Level Fine-Tuning
par: Mohri, Mehryar, et autres
Publié: (2026)

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching
par: Shi, Zhekun, et autres
Publié: (2025)

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
par: Li, Tao, et autres
Publié: (2024)

Inception: Efficiently Computable Misinformation Attacks on Markov Games
par: McMahan, Jeremy, et autres
Publié: (2024)

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
par: Xu, Renzhe, et autres
Publié: (2025)

Game Theory for Adversarial Attacks and Defenses
par: Sharma, Shorya
Publié: (2021)

Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting
par: Zhang, Yong, et autres
Publié: (2026)

On the Decomposition of Differential Game
par: Zhou, Nanxiang, et autres
Publié: (2024)

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
par: Agarwal, Shubhankar, et autres
Publié: (2025)

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
par: Xu, Renzhe, et autres
Publié: (2024)

Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
par: Ji, Mengda, et autres
Publié: (2025)

Beyond Pessimism: Offline Learning in KL-regularized Games
par: Zhang, Yuheng, et autres
Publié: (2026)

On Tractable $Φ$-Equilibria in Non-Concave Games
par: Cai, Yang, et autres
Publié: (2024)

Incentivized Truthful Communication for Federated Bandits
par: Wei, Zhepei, et autres
Publié: (2024)

State-Constrained Zero-Sum Differential Games with One-Sided Information
par: Ghimire, Mukesh, et autres
Publié: (2024)

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization
par: Chen, Claire, et autres
Publié: (2026)

From Leiden to Pleasure Island: The Constant Potts Model for Community Detection as a Hedonic Game
par: Felipe, Lucas Lopes, et autres
Publié: (2025)

Learning in Structured Stackelberg Games
par: Balcan, Maria-Florina, et autres
Publié: (2025)

Learning to Steer Learners in Games
par: Zhang, Yizhou, et autres
Publié: (2025)

Corrupted Learning Dynamics in Games
par: Tsuchiya, Taira, et autres
Publié: (2024)

Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
par: Virk, Hamza, et autres
Publié: (2025)

Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
par: Cai, Yang, et autres
Publié: (2025)

Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems
par: Mumcu, Furkan, et autres
Publié: (2026)

Offline Two-Player Zero-Sum Markov Games with KL Regularization
par: Chen, Claire, et autres
Publié: (2026)

Is This Predictor More Informative than Another? A Decision-Theoretical Comparison
par: Feng, Yiding, et autres
Publié: (2025)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
par: Thöni, Anna C. M., et autres
Publié: (2025)

Scale-Invariant Fast Convergence in Games
par: Tsuchiya, Taira, et autres
Publié: (2026)

Regulation Games for Trustworthy Machine Learning
par: Yaghini, Mohammad, et autres
Publié: (2024)

Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game
par: Karabag, Mustafa O., et autres
Publié: (2025)

Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
par: Chen, Zaiwei, et autres
Publié: (2024)

Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
par: Feng, Yi, et autres
Publié: (2024)

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
par: Li, Boning, et autres
Publié: (2024)

Playing Markov Games Without Observing Payoffs
par: Ablin, Daniel, et autres
Publié: (2025)

Protocols for Verifying Smooth Strategies in Bandits and Games
par: Christ, Miranda, et autres
Publié: (2025)

Bayesian Learning in Episodic Zero-Sum Games
par: Yueh, Chang-Wei, et autres
Publié: (2026)

Regret Minimization in Stackelberg Games with Side Information
par: Harris, Keegan, et autres
Publié: (2024)