Implementing Zero Trust Architecture enhances UAV security through deep learning and explainable AI analysis.
AI code generators are vulnerable to data poisoning attacks, leading to the generation of insecure code with potential security risks.
SECGPT proposes an architecture for LLM-based systems to secure the execution of third-party apps through isolation, aiming to mitigate security and privacy risks.
MaliGNNoma is a machine learning-based solution that accurately identifies malicious FPGA configurations, surpassing existing methods and achieving high accuracy in detecting sophisticated attacks.
Developing an agent-based intelligent security service framework for cloud-native operations.
The author introduces a novel framework for tracking passengers and baggage items using overhead cameras at security checkpoints. The proposed Self-Supervised Learning technique improves object detection accuracy significantly.
Large Language Models offer a cost-effective and efficient alternative to traditional tabletop exercises in the security domain, enhancing preparedness and relevance.