Evaluating and improving the robustness of security attack detectors generated by LLMs
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DOI: 10.1007/s10664-025-10743-w
Abstract: Large Language Models (LLMs) are increasingly used in software development to generate functions, such as attack detectors, that implement security requirements. A key challenge is ensuring the LLMs have enough knowledge to address specific security… read more here.
Keywords: attack detectors; self ranking; improving robustness; evaluating improving ... See more keywords
Improving the robustness of fisheries stock assessment models to outliers in input data
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DOI: 10.1016/j.fishres.2020.105641
Abstract: Abstract Outliers caused by atypical observation error often occur in fishery data. These outliers have an adverse effect on the parameter estimation for fishery stock assessment models. We tested a robust distribution for identifying and… read more here.
Keywords: assessment models; improving robustness; stock assessment; fishery ... See more keywords
Improving robustness of quantum feedback control with reinforcement learning
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DOI: 10.1103/physreva.110.012605
Abstract: Obtaining reliable state preparation protocols is a key step towards practical implementation of many quantum technologies, and one of the main tasks in quantum control. In this work, different reinforcement learning approaches are used to… read more here.
Keywords: control; improving robustness; feedback; reinforcement learning ... See more keywords
Ratiometric Electrochemistry: Improving the Robustness, Reproducibility and Reliability of Biosensors
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DOI: 10.3390/molecules26082130
Abstract: Electrochemical biosensors are an increasingly attractive option for the development of a novel analyte detection method, especially when integration within a point-of-use device is the overall objective. In this context, accuracy and sensitivity are not… read more here.
Keywords: ratiometric electrochemistry; electrochemistry improving; improving robustness; robustness reproducibility ... See more keywords