Steganography for Neural Radiance Fields by Backdooring

The utilization of implicit representation for visual data (such as images, videos, and 3D models) has recently gained significant attention in computer vision research. In this letter, we propose a novel model steganography scheme with implicit neural representation. The message sender leverages Neural Radiance Fields (NeRF) and its viewpoint synthesis capabilities by introducing a viewpoint as a key. The NeRF model generates a secret viewpoint image, which serves as a backdoor. Subsequently, we train a message extractor using overfitting to establish a one-to-one mapping between the secret message and the secret viewpoint image. The sender delivers the trained NeRF model and the message extractor to the receiver over the open channel, and the receiver utilizes the key shared by both parties to obtain the rendered image in the secret view from the NeRF model, and then obtains the secret message through the message extractor. The inherent complexity of the viewpoint information prevents attackers from stealing the secret message accurately. Experimental results demonstrate that the message extractor trained in this letter achieves high-capacity steganography with fast performance, achieving a 100\% accuracy in message extraction. Furthermore, the extensive viewpoint key space of NeRF ensures the security of the steganography scheme.Comment: 6 pages, 7 figure

Patterns of attentional bias in antenatal depression: an eye-tracking study

IntroductionOne of the most common mental disorders in the perinatal period is depression, which is associated with impaired emotional functioning due to alterations in different cognitive aspects including thought and facial emotion recognition. These functional impairment may affect emerging maternal sensitivity and have lasting consequences for the dyadic relationship. The current study aimed to investigate the impact of depressive symptoms on the attention bias of infant stimuli during pregnancy.MethodsEighty-six pregnant women completed the Edinburgh Postnatal Depression Scale and an eye-tracking task comprising infant-related emotion images. All participants showed biased attention to infant-related images.ResultsFirst, compared to healthy pregnant women, pregnant women with depression symptoms initially directed their attention to infant-related stimuli more quickly (F (1, 84) = 6.175, p = 0.015, η2 = 0.068). Second, the two groups of pregnant women paid attention to the positive infant stimuli faster than the neutral infant stimuli, and the first fixation latency bias score was significantly smaller than that of the infant-related negative stimulus (p = 0.007). Third, compared with the neutral stimulus, the non-depression group showed a longer first gaze duration to the negative stimulus of infants (p = 0.019), while the depressive symptoms group did not show this difference.ConclusionWe speculate that structural and functional changes in affective motivation and cognitive-attention brain areas may induce these attentional bias patterns. These results provide suggestions for the implementation of clinical intervention programs to correct the attention bias of antenatal depressed women

Simulation 3D de la génération et de la réception d'ondes guidées : application à la détection de défauts dans des structures composites

Le Contrôle Non Destructif (CND) de matériaux est en forte expansion dans les domaines de l’aéronautique, de l’aérospatial, des transports et bien d’autres. Les ondes ultrasonores guidées constituent un moyen puissant pour la mise en œuvre du CND, car elles se propagent sur de grandes distances tout en interrogeant les structures à cœur. L’emploi de transducteur à couplage par air, disposés d’un même coté, permet de faire du CND sans contact et sans démontage des pièces testées. Cette thèse a consisté à modéliser, en 3 dimensions et par éléments finis, un système de CND ultrasonore à ondes guidées. Le modèle prend en compte la taille finie des transducteurs, l’ouverture angulaire des faisceaux, la diffraction dans toutes les directions, l’anisotropie, la viscoélasticité et l’hétérogénéité des matériaux. Les prédictions numériques sont systématiquement comparées à des mesures expérimentales. Trois structures ont été étudiées avec succès : une plaque en aluminium avec un trou, une plaque en verre-époxyde avec un dommage causé par impact, un réservoir haute pression ASTRIUM pourvu d’un décollement entre son liner en Titane et son bobinage en carbone-époxyde.The Non Destructive Testing (NDT) of materials is rapidly expanding in the fields of aeronautics aerospace, transportation, and so on. Guided ultrasonic waves are a powerful means for the implementation o the NDT because they can spread over large distances while interviewing through structures. The use of air coupled transducer allows both non-contact NDT and non-disassembly of tested parts. This thesis is mainly about three-dimensional finite element modelling, and an ultrasonic NDT system based on guided waves. The model takes into account the finite size transducers, the angle of beam diffraction in all directions, anisotropy viscoelasticity and heterogeneity of materials. The numerical predictions are systematically compared with experimental measurements. Three specimens have been studied with success: an aluminium plate with a hole glass-fibre plate with an impact damage, a high pressure tank provided by ASTRIUM with a disbonding defec between the liner titanium layer and wound carbon - fibre

Simulation 3D de la génération et de la réception d'ondes guidées : application à la détection de défauts dans des structures composites

Le Contrôle Non Destructif (CND) de matériaux est en forte expansion dans les domaines de l’aéronautique, de l’aérospatial, des transports et bien d’autres. Les ondes ultrasonores guidées constituent un moyen puissant pour la mise en œuvre du CND, car elles se propagent sur de grandes distances tout en interrogeant les structures à cœur. L’emploi de transducteur à couplage par air, disposés d’un même coté, permet de faire du CND sans contact et sans démontage des pièces testées. Cette thèse a consisté à modéliser, en 3 dimensions et par éléments finis, un système de CND ultrasonore à ondes guidées. Le modèle prend en compte la taille finie des transducteurs, l’ouverture angulaire des faisceaux, la diffraction dans toutes les directions, l’anisotropie, la viscoélasticité et l’hétérogénéité des matériaux. Les prédictions numériques sont systématiquement comparées à des mesures expérimentales. Trois structures ont été étudiées avec succès : une plaque en aluminium avec un trou, une plaque en verre-époxyde avec un dommage causé par impact, un réservoir haute pression ASTRIUM pourvu d’un décollement entre son liner en Titane et son bobinage en carbone-époxyde.The Non Destructive Testing (NDT) of materials is rapidly expanding in the fields of aeronautics aerospace, transportation, and so on. Guided ultrasonic waves are a powerful means for the implementation o the NDT because they can spread over large distances while interviewing through structures. The use of air coupled transducer allows both non-contact NDT and non-disassembly of tested parts. This thesis is mainly about three-dimensional finite element modelling, and an ultrasonic NDT system based on guided waves. The model takes into account the finite size transducers, the angle of beam diffraction in all directions, anisotropy viscoelasticity and heterogeneity of materials. The numerical predictions are systematically compared with experimental measurements. Three specimens have been studied with success: an aluminium plate with a hole glass-fibre plate with an impact damage, a high pressure tank provided by ASTRIUM with a disbonding defec between the liner titanium layer and wound carbon - fibre

Simulation 3D de la génération et de la réception d'ondes guidées (application à la détection de défauts dans des structures composites)

Le Contrôle Non Destructif (CND) de matériaux est en forte expansion dans les domaines de l aéronautique, de l aérospatial, des transports et bien d autres. Les ondes ultrasonores guidées constituent un moyen puissant pour la mise en œuvre du CND, car elles se propagent sur de grandes distances tout en interrogeant les structures à cœur. L emploi de transducteur à couplage par air, disposés d un même coté, permet de faire du CND sans contact et sans démontage des pièces testées. Cette thèse a consisté à modéliser, en 3 dimensions et par éléments finis, un système de CND ultrasonore à ondes guidées. Le modèle prend en compte la taille finie des transducteurs, l ouverture angulaire des faisceaux, la diffraction dans toutes les directions, l anisotropie, la viscoélasticité et l hétérogénéité des matériaux. Les prédictions numériques sont systématiquement comparées à des mesures expérimentales. Trois structures ont été étudiées avec succès : une plaque en aluminium avec un trou, une plaque en verre-époxyde avec un dommage causé par impact, un réservoir haute pression ASTRIUM pourvu d un décollement entre son liner en Titane et son bobinage en carbone-époxyde.The Non Destructive Testing (NDT) of materials is rapidly expanding in the fields of aeronautics aerospace, transportation, and so on. Guided ultrasonic waves are a powerful means for the implementation o the NDT because they can spread over large distances while interviewing through structures. The use of air coupled transducer allows both non-contact NDT and non-disassembly of tested parts. This thesis is mainly about three-dimensional finite element modelling, and an ultrasonic NDT system based on guided waves. The model takes into account the finite size transducers, the angle of beam diffraction in all directions, anisotropy viscoelasticity and heterogeneity of materials. The numerical predictions are systematically compared with experimental measurements. Three specimens have been studied with success: an aluminium plate with a hole glass-fibre plate with an impact damage, a high pressure tank provided by ASTRIUM with a disbonding defec between the liner titanium layer and wound carbon - fibre.BORDEAUX1-Bib.electronique (335229901) / SudocSudocFranceF

Towards an Ultrasonic Guided Wave Procedure for Health Monitoring of Composite Vessels: Application to Hydrogen-Powered Aircraft

International audienceThis paper presents an overview and description of the approach to be used to investigate the behavior and the defect sensitivity of various ultrasonic guided wave (UGW) modes propagating specifically in composite cylindrical vessels in the framework of the safety of hydrogen energy transportation such as hydrogen-powered aircrafts. These structures which consist of thick and multi-layer composites are envisioned for housing hydrogen gas at high pressures. Due to safety concerns associated with a weakened structure, structural health monitoring techniques are needed. A procedure for optimizing damage detection in these structural types is presented. It is shown that a finite element method can help identify useful experimental parameters including frequency range, excitation type, and receiver placement

Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems

Machine learning approaches have been widely used to tackle the problem of sensor array drift in E-Nose systems. However, labeled data are rare in practice, which makes supervised learning methods hard to be applied. Meanwhile, current solutions require updating the analytical model in an offline manner, which hampers their uses for online scenarios. In this paper, we extended Target Domain Adaptation Extreme Learning Machine (DAELM_T) to achieve high accuracy with less labeled samples by proposing a Weighted Domain Transfer Extreme Learning Machine, which uses clustering information as prior knowledge to help select proper labeled samples and calculate sensitive matrix for weighted learning. Furthermore, we converted DAELM_T and the proposed method into their online learning versions under which scenario the labeled data are selected beforehand. Experimental results show that, for batch learning version, the proposed method uses around 20% less labeled samples while achieving approximately equivalent or better accuracy. As for the online versions, the methods maintain almost the same accuracies as their offline counterparts do, but the time cost remains around a constant value while that of offline versions grows with the number of samples

Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine

Sensor drift is a common issue in E-Nose systems and various drift compensation methods have received fruitful results in recent years. Although the accuracy for recognizing diverse gases under drift conditions has been largely enhanced, few of these methods considered online processing scenarios. In this paper, we focus on building online drift compensation model by transforming two domain adaptation based methods into their online learning versions, which allow the recognition models to adapt to the changes of sensor responses in a time-efficient manner without losing the high accuracy. Experimental results using three different settings confirm that the proposed methods save large processing time when compared with their offline versions, and outperform other drift compensation methods in recognition accuracy