Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks

Autor: Mejia, Felipe A., Gamble, Paul, Hampel-Arias, Zigfried, Lomnitz, Michael, Lopatina, Nina, Tindall, Lucas, Barrios, Maria Alejandra

Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks. This training method improves robustness against adversarial attacks, but increases the models vulnerability to privacy attacks. In

Externí odkaz: http://arxiv.org/abs/1906.06449

Definition, diagnosis and treatment of oligometastatic oesophagogastric cancer: A Delphi consensus study in Europe

Autor: Rozema, Tom, Heisterkamp, Joos, Schaefer, Markus, Ozsahin, Esat-Mahmut, de Haan, Jacco, Willem van den Berg, Jan, Duprez, Frederic, Callebout, Eduard, van Daele, Elke, Hacker, Ulrich, Hoffmeister, Albrecht, Kuhnt, Thomas, Denecke, Timm, Kluge, Regine, Prager, Gerald, Ilhan-Mutlu, A., Cuicchi, Dajana, Ardizzoni, Andrea, Rosman, Camiel, Gootjes, Elske C., Rütten, Heidi, Puccetti, Francesco, Cascinu, Stefano, Slim, Najla, Barrios, Maria Eugenia, Fernandez, Maria Carmen, Martí-Oriol, Roberto, Alvaro, Marisol Huerta, Vera, Almudena, Jordá, Esther, Mozos, Fernando L., Reig, Anna, Visa, Laura, Ciseł, Bogumiła, Czechowska, Joanna, Kwietniewska, Magdalena, Pikuła, Agnieszka, Skórzewska, Magdalena, Kozłowska, Aleksandra, Rawicz-Pruszyński, Karol, Kroese, Tiuri E., van Laarhoven, Hanneke W.M., Schoppman, Sebastian F., Deseyne, Pieter R.A.J., van Cutsem, Eric, Haustermans, Karin, Nafteux, Philippe, Thomas, Melissa, Obermannova, Radka, Mortensen, Hanna R., Nordsmark, Marianne, Pfeiffer, Per, Elme, Anneli, Adenis, Antoine, Piessen, Guillaume, Bruns, Christiane J., Lordick, Florian, Gockel, Ines, Moehler, Markus, Gani, Cihan, Liakakos, Theodore, Reynolds, John, Morganti, Alessio G., Rosati, Riccardo, Castoro, Carlo, Cellini, Francesco, D'Ugo, Domenico, Roviello, Franco, Bencivenga, Maria, de Manzoni, Giovanni, van Berge Henegouwen, Mark I., Hulshof, Maarten C.C.M., van Dieren, Jolanda, Vollebergh, Marieke, van Sandick, Johanna W., Jeene, Paul, Muijs, Christel T., Slingerland, Marije, Voncken, Francine E.M., Hartgrink, Henk, Creemers, Geert-Jan, van der Sangen, Maurice J.C., Nieuwenhuijzen, Grard, Berbee, Maaike, Verheij, Marcel, Wijnhoven, Bas, Beerepoot, Laurens V., Mohammad, Nadia H., Mook, Stella, Ruurda, Jelle P., Kolodziejczyk, Piotr, Polkowski, Wojciech P., Wyrwicz, Lucjan, Alsina, Maria, Pera, Manuel, Kanonnikoff, Tania F., Cervantes, Andrés, Nilsson, Magnus, Monig, Stefan, Wagner, Anna D., Guckenberger, Matthias, Griffiths, Ewen A., Smyth, Elizabeth, Hanna, George B., Markar, Sheraz, Chaudry, M. Asif, Hawkins, Maria A., Cheong, Edward, van Hillegersberg, Richard, van Rossum, Peter S.N.

Publikováno v: In European Journal of Cancer May 2023 185:28-39

Voices Obscured in Complex Environmental Settings (VOICES) corpus

Autor: Richey, Colleen, Barrios, Maria A., Armstrong, Zeb, Bartels, Chris, Franco, Horacio, Graciarena, Martin, Lawson, Aaron, Nandwana, Mahesh Kumar, Stauffer, Allen, van Hout, Julien, Gamble, Paul, Hetherly, Jeff, Stephenson, Cory, Ni, Karl

This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES) corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will promote speech and signal processing research of speech recorded by far-field mic

Externí odkaz: http://arxiv.org/abs/1804.05053

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The bronchial segmentation and its anatomical variations. A clinical-anatomic and bronchoscopy study

Autor: Martín-Ruiz, Silvia, Gutiérrez-Collar, Christian, Forcén Vicente De Vera, Elena, Bernabé-Barrios, María José, de Blas, Clara Simón, Konschake, Marko, Ramón Sañudo, José, Maranillo, Eva

Publikováno v: In Annals of Anatomy May 2021 235