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Titlebook: Machine Learning under Malware Attack; Raphael Labaca-Castro Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li

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f polarized light propagation in atmosphere and ocean.Offers.This is the eleventh volume in the series Light Scattering Reviews, devoted to current knowledge of light scattering problems and both experimental and theoretical research techniques related to their solution. The focus of this volume is
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luding radio-physics, geophysical remote sensing, ocean acoustics, surface optics, and plasmonics..-. Wave behavior on rough surfaces is an old subject that has undergone a tremendous transformation in the past ten years. In plasmonics, we study optical processus and their applications for building
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s have found an ever-widening range of applications. Using detectors which re­ spond to single quanta of the radiation field, these methods are intrinsically digital in natnre and in many experimental situations offer a unique degree of accuracy and sensitivity, not only for the study of primary lig
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Introductionomous vehicles [Jan+20]. Although ML models have been ubiquitously deployed to make life easier, not all of the algorithms have been vetted enough to ensure their safety, which is an often neglected aspect when designing solutions.
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FAMEaluation (FAME) [LR22], which can be observed in Fig. 1.1 under a homonymous name. We define the notation and threat model for our research by describing the adversary’s knowledge, objectives, and capabilities. Since the requirements vary depending on the attack settings, they will be presented individually in the subsequent modules of Part III.
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Genetic Programminguences of transformations. However, as outlined in § 4.3, the integrity verification rates are indirectly proportional to the length of the attack vector and the level of convergence does not increase over time. Moreover, although cloud-based aggregators provide substantial information about prediction labels, they are expensive to implement.
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