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Model Poisoning

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Showing 1–25 of 108 papers

TitleStatusHype
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL—0
Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models—0
Trojan Horse Hunt in Time Series Forecasting for Space Operations—0
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach—0
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework—0
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning—0
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks—0
Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning—0
Poisoning Bayesian Inference via Data Deletion and Replication—0
SLVR: Securely Leveraging Client Validation for Robust Federated Learning—0
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated LearningCode0
DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences—0
SoK: Benchmarking Poisoning Attacks and Defenses in Federated LearningCode2
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning—0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning—0
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning—0
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution—0
FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated LearningCode0
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks—0
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning—0
pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology—0
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningCode0
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning—0
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks—0
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