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Detecting Adversarial Examples Using Surrogate Models
Machine Learning and Knowledge Extraction, 2023 Deep Learning has enabled significant progress towards more accurate predictions and is increasingly integrated into our everyday lives in real-world applications; this is true especially for Convolutional Neural Networks (CNNs) in the field of image ...
Borna Feldsar +2 more
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Mathematics, 2023 In recent years, a variety of data-driven evolutionary algorithms (DDEAs) have been proposed to solve time-consuming and computationally intensive optimization problems.
Zongliang Guo +3 more
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Detecting and Isolating Adversarial Attacks Using Characteristics of the Surrogate Model Framework
Applied Sciences, 2023 The paper introduces a novel framework for detecting adversarial attacks on machine learning models that classify tabular data. Its purpose is to provide a robust method for the monitoring and continuous auditing of machine learning models for the ...
Piotr Biczyk, Łukasz Wawrowski
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Large-Scale Expensive Optimization with a Switching Strategy
Complex System Modeling and Simulation, 2022 Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation.
Mai Sun +4 more
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Surrogate modeling of RF circuit blocks [PDF]
, 2010 Surrogate models are a cost-effective replacement for expensive computer simulations in design space exploration. Literature has already demonstrated the feasibility of accurate surrogate models for single radio frequency (RF) and microwave devices ...
Croon, Jeroen A +3 more
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Versatile surrogate models for IC buffers [PDF]
, 2012 In previous papers [1,2] the authors have investigated the use of Volterra series in the identification of IC buffer macro-models. While the approach benefited from some of the inherent qualities of Volterra series it preserved the two-state paradigm of ...
Canavero, Flavio +5 more
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Surrogate models for composed simulation models in energy systems
Energy Informatics, 2018 New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized.
Stephan Balduin
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Predicting Saltwater Intrusion into Coastal Aquifers Using Support Vector Regression Surrogate Models [PDF]
آب و فاضلاب, 2020 The prediction of the intrusion of saline water into coastal aquifers as a result of changing the amount of groundwater extractions is a prerequisite for managing groundwater.
Fatemeh Fa'al +2 more
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Influence of diesel surrogates on the behavior of simplified spray models [PDF]
, 2012 Numerous experimental investigations make use of diesel surrogates to make the computational time reasonable. In the few studies where measured (surrogate and real diesel) and computed (surrogate only) results have been compared, the selection ...
F Battin-Leclerc +6 more
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Applied Sciences, 2022 Natural disasters are unavoidable and can cause serious damage to bridges, which may lead to catastrophic losses, both human and economic. Therefore, the assessment of bridges exposed to these events is of paramount importance to identify possible ...
Carlos Mendoza Cabanzo +3 more
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