Tag: machine learning security
Browse our exclusive articles!
Secure Privacy-Preserving Vertical Federated Learning Framework
Discover a novel framework for vertical federated learning that ensures data privacy with secure multiparty computation and differential privacy.
AI Agents Security Risks: Are You Prepared?
Explore the security risks of AI agents and learn how to protect data privacy, prevent manipulation, and ensure safe AI deployment.
Clean-Label Backdoor Attacks on Graph Neural Networks
Explore BA-Logic, a novel method to poison inner prediction logic of GNNs for effective clean-label backdoor attacks in machine learning security.
Safe-FedLLM: Enhancing Security in Federated LLMs
Discover Safe-FedLLM, a robust defense framework securing federated large language models against malicious clients while maintaining training efficiency.
GF-Score: Fair, Certified Robustness Evaluation per Class
Discover GF-Score, an attack-free framework for certified class-wise robustness evaluation with fairness metrics to ensure balanced neural network security...