SOTAVerified

Model Poisoning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 108 papers

TitleStatusHype
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection—0
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation—0
Security Analysis of SplitFed Learning—0
SLVR: Securely Leveraging Client Validation for Robust Federated Learning—0
SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks—0
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors—0
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning—0
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks—0
Trojan Horse Hunt in Time Series Forecasting for Space Operations—0
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks—0
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation—0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense—0
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework—0
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?—0
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution—0
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning—0
WW-FL: Secure and Private Large-Scale Federated Learning—0
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification—0
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing—0
A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning—0
Learning to Detect Malicious Clients for Robust Federated Learning—0
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning—0
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures—0
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning—0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.