A Zero-Trust IAM framework and Trust Fabric to secure autonomous AI agents against logic-layer threats like LPCI.
1 Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, Stockholm, Sweden 2 Department of Physical Geography, Stockholm University, ...
The LLM4TR framework proposed in this survey. A curated collection of papers, datasets, and resources related to Large Language Models for Transportation (LLM4TR). This repository serves as the online ...
Abstract: Robot-assisted intervention at a higher level of autonomy can reduce the surgical complexity and physician workload. However, as the core requirement, the autonomous delivery of the ...
It enables AI agents to reuse and refine past experiences, improving performance on complex, long-running tasks.
Abstract: Although machine learning models have been widely used in electricity theft detection, most of them lack interpretability, which hinders user trust and policy enforcement. To this end, this ...
Javascript is required for you to be able to read premium content. Please enable it in your browser settings.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback