Tag: AI Cybersecurity
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Semantics-Aware Backdoor Attacks in Federated Learning
Explore SABLE, a novel semantics-aware backdoor attack in federated learning that uses natural triggers to evade detection and compromise model integrity.
Risks of Smart AI in Edge-Cloud Industrial Systems
Explore the risks of AI smartness in edge-cloud industrial systems, including cybersecurity, interoperability, and ethical challenges.
Lightweight Graph Neural Network for Vulnerability Detection
Discover VulGNN, a lightweight graph neural network that detects software vulnerabilities efficiently with high accuracy and low resource use.
CivicShield: Securing Gov AI Chatbots from Adversarial Attacks
Discover CivicShield, a defense-in-depth framework protecting government AI chatbots from multi-turn adversarial attacks with layered security measures.
GMA-SAWGAN-GP: Boost IDS Detection with Data Generation
Enhance Intrusion Detection Systems with GMA-SAWGAN-GP, a novel data generative framework improving accuracy and detection of unknown cyber threats.