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S. Silva Pereira, López-Valcarce, R., y Pagès-Zamora, A., «Parameter estimation in wireless sensor networks with faulty transducers: A distributed EM approach», Signal Processing, vol. 144, pp. 226-237, 2018.
A. S. Pena, González-Prelcic, N., y Serantes, C., «New Improvements in ARCO», in Audio Engineering Society Convention (AES Convention), Munich, Germany, 1997.
A. S. Pena, Serantes, C., y González-Prelcic, N., «ARCO (Adaptive Resolution COdec): A Hybrid Approach to Perceptual Audio Coding», in Audio Engineering Society Convention (AES Convention), Copenhagen, Denmark, 1996.
A. Pedrouzo-Ulloa, Masciopinto, M., Troncoso-Pastoriza, J. R., y Pérez-González, F., «A Review of "Camera Attribution Forensic Analyzer in the Encrypted Domain"», in VI Jornadas Nacionales de Investigación en Ciberseguridad (JNIC), 2021.Icono PDF PMTP21-JNIC21.pdf (259.84 KB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., y Pérez-González, F., «Multivariate Lattices for Encrypted Image Processing», in IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, 2015.Icono PDF PedrouzoICASSP2015.pdf (348.56 KB)
A. Pedrouzo-Ulloa, Ramon, J., Pérez-González, F., Lilova, S., Duflot, P., Chihani, Z., Gentili, N., Ulivi, P., Hoque, M. Ashadul, Mukammel, T., Pritzker, Z., Lemesle, A., Loureiro-Acuña, J., Martínez, X., y Jiménez-Balsa, G., «Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies», in IEEE International Conference on Cyber Security and Resilience (CSR), Venice, Italy, 2023, pp. 604-611.
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., Gama, N., Georgieva, M., y Pérez-González, F., «Revisiting multivariate ring learning with errors and its applications on lattice-based cryptography», Mathematics, vol. 9, n.º 8, 2021.Icono PDF PTGGP21.pdf (1.04 MB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., y Pérez-González, F., «Technical Report UV/TSC/APU/02102014: Multivariate Ring Learning with Errors», University of Vigo, 2014.Icono PDF TRMLWE2014.pdf (349.18 KB)
A. Pedrouzo-Ulloa, Masciopinto, M., Troncoso-Pastoriza, J. R., y Pérez-González, F., «Efficient PRNU Matching in the Encrypted Domain», in XoveTIC, A Coruña, Spain, 2019.Icono PDF PMTP19_XoveTIC19.pdf (517.32 KB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., y Pérez-González, F., «Number Theoretic Transforms for Secure Signal Processing», IEEE Transactions on Information Forensics and Security, vol. 12, n.º 5, pp. 1125-1140, 2017.Icono PDF PTP17_TIFS.pdf (651.54 KB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., Gama, N., Georgieva, M., y Pérez-González, F., «Multiquadratic Rings and Walsh-Hadamard Transforms for Oblivious Linear Function Evaluation», in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.Icono PDF PTGGP20-WIFS20.pdf (645.17 KB)
A. Pedrouzo-Ulloa, Pérez-González, F., y Vázquez-Padín, D., «Secure Collaborative Camera Attribution», in European Interdisciplinary Cybersecurity Conference (EICC), Barcelona, Spain, 2022, pp. 97-98.
A. Pedrouzo-Ulloa, Masciopinto, M., Troncoso-Pastoriza, J. R., y Pérez-González, F., «Camera Attribution Forensic Analyzer in the Encrypted Domain», in IEEE International Workshop on Information Forensics and Security (WIFS), Hong Kong, 2018.Icono PDF PMTP18_WIFS18.pdf (655.48 KB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., y Pérez-González, F., «Revisiting Multivariate Lattices for Encrypted Signal Processing», in ACM Information Hiding and Multimedia Security Workshop (IH&MMSec), Paris, France, 2019.Icono PDF PTP19_IHMMSec19.pdf (1.67 MB)
A. Pedrouzo-Ulloa, «Multiquadratic rings and oblivious linear function evaluation», TEMat monográficos, vol. 2, n.º Proceedings of the 3rd BYMAT Conference, pp. 83-86, 2021.Icono PDF P21-TM21.pdf (592.53 KB)
A. Pedrouzo-Ulloa, Troncoso-Pastoriza, J. R., y Pérez-González, F., «Image denoising in the encrypted domain», in IEEE International Workshop on Information Forensics and Security (WIFS), Abu Dhabi, UAE, 2016.Icono PDF PTP16_WIFS16.pdf (527.76 KB)
A. Pedrouzo-Ulloa, Boudguiga, A., Chakraborty, O., Sirdey, R., Stan, O., y Zuber, M., «Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation», in IEEE International Conference on Cyber Security and Resilience (CSR), Venice, Italy, 2023, pp. 612-617.
A. Pedrouzo-Ulloa, «Homomorphic Lattice Cryptosystems for Secure Signal Processing», University of Vigo, Vigo, 2019.Icono PDF thesis-pedrouzo-ulloa.pdf (6.16 MB)
R. Pedone, Albertazzi, G., Mathiopoulos, P. T., Mosquera, C., Sagias, N., y Villanti, M., «Digital Satellite Communications», Springer, 2007.
A. Paz-Pérez, Tato, A., J. Escudero-Garzás, J., y Gomez-Cuba, F., «Flexible Reinforcement Learning Scheduler for 5G Networks», in 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024, pp. 566-572.Icono PDF a105-paz-perez_final.pdf (514.6 KB)
C. Pasquini, Pérez-González, F., y Boato, G., «A Benford-Fourier JPEG compression detector», in IEEE International Conference on Image Processing (ICIP), Paris, France, 2014.Icono PDF benford_icip_rice_new.pdf (235.58 KB)
C. Pasquini, Boato, G., y Pérez-González, F., «Statistical detection of JPEG traces in digital images in uncompressed formats», IEEE Transactions on Information Forensics and Security, vol. 12, n.º Pending, 2017.Icono PDF TIFSbenford.pdf (5.94 MB)
C. Pasquini, Schoettle, P., Bohme, R., Boato, G., y Pérez-González, F., «Forensics of high quality and nearly identical JPEG image recompression», in ACM Workshop on Information Hiding and Multimedia Security, 2016.Icono PDF HQ_multipleJPEG.pdf (1.33 MB)
C. Pasquini, Boato, G., y Pérez-González, F., «Multiple JPEG compression detection by means of Benford-Fourier coefficients», in IEEE International Workshop on Information Forensics and Security (WIFS), Atlanta, GA, 2014.
C. Pasquini, Comesaña, P., y Pérez-González, F., «Transportation-theoretic image counterforensics to first significant digit histogram forensics», in IEEE International Conference on Audio, Speech, and Signal Processing (ICASSP), Florence, Italy, 2014.Icono PDF cecilia_icassp2014.pdf (390.14 KB)