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Template Inversion Attack Using Synthetic Face Images Against Real Face Recognition Systems, and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 |
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Breaking Template Protection: Reconstruction of Face Images from Protected Facial Templates, and , in: 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024 |
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HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere, and , in: NeurIPS Safe Generative AI Workshop 2024, 2024 |
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Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities, and , in: NeurIPS Workshop on New Frontiers in Adversarial Machine Learning, 2024 |
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Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks Via 3D Face Reconstruction, and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12):14248-14265, 2023 |
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Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction, and , in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 19662-19672, 2023 |
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Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model, and , in: Proceedings of the IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, pages 2435-2439, 2023 |
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Inversion of Deep Facial Templates using Synthetic Data, and , in: Proceedings of the IEEE International Joint Conference on Biometric, 2023 |
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Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network, and , in: Thirty-seventh Conference on Neural Information Processing Systems, 2023 |
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Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition, and , in: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Toronto, Canada, 2021 |
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Towards Protecting and Enhancing Vascular Biometric Recognition methods via Biohashing and Deep Neural Networks, and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021 |
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Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics, , , , , and , in: Proceedings of the 2022 International Joint Conference on Biometrics (IJCB), Abu Dhabi, United Arab Emirates (UAE), IEEE, 2022 |
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On Measuring Linkability of Multiple Protected Biometric Templates using Maximal Leakage, , and , in: IEEE Access, 2024 |
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Measuring Linkability of Protected Biometric Templates Using Maximal Leakage, , and , in: IEEE Transactions on Information Forensics and Security, 18:2262 - 2275, 2023 |
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Face Recognition Using Lensless Camera, , and , in: Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024 |
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Toward High-Resolution Face Image Generation From Coded Aperture Camera, , and , in: IEEE Sensors Letters, 2023 |
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A Multiple Hypothesis Gaussian Mixture Filter for Acoustic Source Localization and Tracking, , and , Idiap-RR-09-2012 |
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A Multiple Hypothesis Gaussian Mixture Filter for Acoustic Source Localization and Tracking, , and , in: 13th International Workshop on Acoustic Signal Enhancement, pages 233-236, 2012 |
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A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , Idiap-RR-10-2012 |
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A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , in: 20th European Signal Processing Conference, 2012 |
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A Context-Aware Speech recognition and Understanding System for Air Traffic Control Domain, , , , , and , in: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, Okinawa, Japan, 2017 |
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A Probabilistic Framework for Multiple Speaker Localization, , , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 |
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Joint Detection and Localization of Multiple Speakers using a Probabilistic Interpretation of the Steered Response Power, , , and , in: Statistical and Perceptual Audition Workshop, 2012 |
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A Probabilistic Framework for Multiple Speaker Localization, , , and , Idiap-RR-37-2012 |
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A Large-Scale Database of Images and Captions for Automatic Face Naming, , , and , Idiap-RR-26-2011 |
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A Large-Scale Database of Images and Captions for Automatic Face Naming, , , and , in: Proceedings of the 22nd British Machine Vision Conference, 2011 |
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Probabilistic models for music, , Ecole Polytechnique Fédérale de Lausanne, 2008 |
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Probabilistic Models for Melodic Prediction, , and , Idiap-RR-50-2008 |
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A Probabilistic Model for Chord Progressions, , and , in: Proceedings of the Sixth International Conference on Music Information Retrieval (ISMIR), 2005 |
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Chord Representations for Probabilistic Models, , and , Idiap-RR-58-2005 |
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A Probabilistic Model for Chord Progressions, , and , Idiap-RR-57-2005 |
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A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, , , and , in: Proceedings of the 22nd International Conference on Machine Learning, 2005 |
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A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, , , and , Idiap-RR-33-2005 |
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Predictive Models for Music, , and , Idiap-RR-51-2008 |
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A Distance Model for Rhythms, , , and , in: 25th International Conference on Machine Learning (ICML), 2008 |
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A Distance Model for Rhythms, , , and , Idiap-RR-33-2008 |
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A Generative Model for Rhythms, , , and , in: NIPS Workshop on Brain, Music and Cognition, 2007 |
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A Generative Model for Rhythms, , , and , Idiap-RR-70-2007 |
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Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses, , , , , , , and , in: Frontiers in Public Health, 8:9, 2020 |
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Towards End-to-End Speech Recognition, , Ecole polytechnique Fédérale de Lausanne, 2016 |
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , Idiap-RR-13-2013 |
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , in: Proceedings of Interspeech, 2013 |
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End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks, , and , Idiap-RR-40-2013 |
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End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition, , and , in: Speech Communication, 108:15--32, 2019 |
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End-to-End Acoustic Modeling using Convolutional Neural Networks for Automatic Speech Recognition, , and , Idiap-RR-18-2016 |
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Convolutional Neural Networks-based Continuous Speech Recognition using Raw Speech Signal, , and , in: International Conference on Acoustics, Speech and Signal Procecssing, IEEE, South Brisbane, QLD, pages 4295 - 4299, IEEE, 2015 |
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Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , Idiap-RR-23-2015 |
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Learning linearly separable features for speech recognition using convolutional neural networks, , and , Idiap-RR-24-2015 |
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Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , in: Proceedings of Interspeech, ISCA, Dresden, pages 11-15, ISCA, 2015 |
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Raw Speech Signal-based Continuous Speech Recognition using Convolutional Neural Networks, , and , Idiap-RR-15-2014 |
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