SOTAVerified

Model Poisoning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 108 papers

TitleStatusHype
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures—0
A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning—0
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated LearningCode1
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning—0
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection—0
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning AttacksCode0
CADeSH: Collaborative Anomaly Detection for Smart Homes—0
Poster: Sponge ML Model Attacks of Mobile Apps—0
WW-FL: Secure and Private Large-Scale Federated Learning—0
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications—0
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?—0
FedCC: Robust Federated Learning against Model Poisoning Attacks—0
Security Analysis of SplitFed Learning—0
SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks—0
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks—0
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks—0
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated LearningCode0
FedPerm: Private and Robust Federated Learning by Parameter Permutation—0
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious ClientsCode1
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications—0
Performance Weighting for Robust Federated Learning Against Corrupted Sources—0
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling—0
Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy—0
FedRecAttack: Model Poisoning Attack to Federated RecommendationCode1
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error AnalysisCode0
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing—0
MPAF: Model Poisoning Attacks to Federated Learning based on Fake ClientsCode0
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors—0
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of RobustnessCode0
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with SparsificationCode0
FedRAD: Federated Robust Adaptive Distillation—0
ARFED: Attack-Resistant Federated averaging based on outlier eliminationCode1
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client PerspectiveCode1
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy—0
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion—0
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks—0
On the Security Risks of AutoMLCode0
Byzantine-robust Federated Learning through Collaborative Malicious Gradient FilteringCode1
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples—0
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated LearningCode1
Turning Federated Learning Systems Into Covert Channels—0
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning—0
Robust Federated Learning with Attack-Adaptive AggregationCode1
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation—0
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization—0
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation—0
Ditto: Fair and Robust Federated Learning Through PersonalizationCode1
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments—0
BaFFLe: Backdoor detection via Feedback-based Federated Learning—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.