Cover Image

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Tao, Li, Henger, Pan, Yunian, Xu, Tianyi, Zheng, Zizhan, Zhu, Quanyan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
by: Li, Henger, et al.
Published: (2023)

LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
by: Zhu, Quanyan
Published: (2025)

Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
by: Li, Tao, et al.
Published: (2024)

Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
by: Zhu, Quanyan
Published: (2024)

MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
by: Ge, Yunfei, et al.
Published: (2024)

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
by: Yang, Ya-Ting, et al.
Published: (2024)

Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
by: Yang, Ya-Ting, et al.
Published: (2025)

A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
by: Yang, Ya-Ting, et al.
Published: (2025)

ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing
by: Lei, Haozhe, et al.
Published: (2024)

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
by: Zhu, Quanyan
Published: (2025)

On the Variational Interpretation of Mirror Play in Monotone Games
by: Pan, Yunian, et al.
Published: (2024)

Automated Security Response through Online Learning with Adaptive Conjectures
by: Hammar, Kim, et al.
Published: (2024)

Defending Against Poisoning Attacks in Federated Learning with Blockchain
by: Dong, Nanqing, et al.
Published: (2023)

A Unified Variational Design of Predictive Mirror Descent in Convex Games under Stochastic Feedback
by: Pan, Yunian, et al.
Published: (2026)

Game-Theoretic Neyman-Pearson Detection to Combat Strategic Evasion
by: Hu, Yinan, et al.
Published: (2022)

From Texts to Shields: Convergence of Large Language Models and Cybersecurity
by: Li, Tao, et al.
Published: (2025)

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
by: Commey, Daniel, et al.
Published: (2025)

Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
by: Wu, Bibo, et al.
Published: (2025)

Orbital Escalation: Modeling Satellite Ransomware Attacks Using Game Theory
by: López-Morales, Efrén
Published: (2026)

Game-Theoretic Modeling of Stealthy Intrusion Defense against MDP-Based Attackers
by: Kouam, Willie, et al.
Published: (2026)

A Game-Theoretic Approach to the Study of Blockchain's Robustness
by: Pavloff, Ulysse
Published: (2024)

Inception: Efficiently Computable Misinformation Attacks on Markov Games
by: McMahan, Jeremy, et al.
Published: (2024)

pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology
by: Behera, Monik Raj, et al.
Published: (2024)

Game Theory for Adversarial Attacks and Defenses
by: Sharma, Shorya
Published: (2021)

Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions
by: Abdallah, Mustafa, et al.
Published: (2023)

Private and Robust Contribution Evaluation in Federated Learning
by: Velez, Delio Jaramillo, et al.
Published: (2026)

Game-Theoretic Cybersecurity: the Good, the Bad and the Ugly
by: Collins, Brandon, et al.
Published: (2024)

A Game-theoretic Framework for Privacy-preserving Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2023)

FedCC: Robust Federated Learning against Model Poisoning Attacks
by: Jeong, Hyejun, et al.
Published: (2022)

Optimal Attack and Defense for Reinforcement Learning
by: McMahan, Jeremy, et al.
Published: (2023)

Guarding Against Malicious Biased Threats (GAMBiT) Experiments: Revealing Cognitive Bias in Human-Subjects Red-Team Cyber Range Operations
by: Beltz, Brandon, et al.
Published: (2025)

Data Poisoning to Fake a Nash Equilibrium in Markov Games
by: Wu, Young, et al.
Published: (2023)

Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games
by: Chan, T-H. Hubert, et al.
Published: (2024)

Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids
by: B., Anjana, et al.
Published: (2024)

FedSV: Byzantine-Robust Federated Learning via Shapley Value
by: Otmani, Khaoula, et al.
Published: (2025)

Mitigating Backdoor Attacks in Federated Learning Using PPA and MiniMax Game Theory
by: Wehbi, Osama, et al.
Published: (2026)

A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
by: Pan, Yunian, et al.
Published: (2025)

Blockchain Bribing Attacks and the Efficacy of Counterincentives
by: Karakostas, Dimitris, et al.
Published: (2024)

Preference-Centric Route Recommendation: Equilibrium, Learning, and Provable Efficiency
by: Yang, Ya-Ting, et al.
Published: (2025)

Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis
by: Beltz, Brandon, et al.
Published: (2025)