Controllable Synthetic Clinical Note Generation with Privacy Guarantees

Autor: Baumel, Tal, Manoel, Andre, Jones, Daniel, Su, Shize, Inan, Huseyin, Aaron, Bornstein, Sim, Robert

In the field of machine learning, domain-specific annotated data is an invaluable resource for training effective models. However, in the medical domain, this data often includes Personal Health Information (PHI), raising significant privacy concerns

Externí odkaz: http://arxiv.org/abs/2409.07809

Characterisation of analogue Monolithic Active Pixel Sensor test structures implemented in a 65 nm CMOS imaging process

Autor: Rinella, Gianluca Aglieri, Alocco, Giacomo, Antonelli, Matias, Baccomi, Roberto, Beole, Stefania Maria, Blidaru, Mihail Bogdan, Buttwill, Bent Benedikt, Buschmann, Eric, Camerini, Paolo, Carnesecchi, Francesca, Chartier, Marielle, Choi, Yongjun, Colocci, Manuel, Contin, Giacomo, Dannheim, Dominik, De Gruttola, Daniele, Viera, Manuel Del Rio, Dubla, Andrea, di Mauro, Antonello, Donner, Maurice Calvin, Eberwein, Gregor Hieronymus, Egger, Jan, Fabbietti, Laura, Feindt, Finn, Gautam, Kunal, Gernhaeuser, Roman, Glover, James Julian, Gonella, Laura, Grodaas, Karl Gran, Gregor, Ingrid-Maria, Hillemanns, Hartmut, Huth, Lennart, Ilg, Armin, Isakov, Artem, Jones, Daniel Matthew, Junique, Antoine, Kaewjai, Jetnipit, Keil, Markus, Kim, Jiyoung, Kluge, Alex, Kobdaj, Chinorat, Kotliarov, Artem, Kittimanapun, Kritsada, Křížek, Filip, Kucharska, Gabriela, Kushpil, Svetlana, La Rocca, Paola, Laojamnongwong, Natthawut, Lautner, Lukas, Lemmon, Roy Crawford, Lemoine, Corentin, Li, Long, Librizzi, Francesco, Liu, Jian, Macchiolo, Anna, Mager, Magnus, Marras, Davide, Martinengo, Paolo, Masciocchi, Silvia, Mattiazzo, Serena, Menzel, Marius Wilm, Mulliri, Alice, Mylne, Mia Rose, Piro, Francesco, Rachevski, Alexandre, Rasà, Marika, Rebane, Karoliina, Reidt, Felix, Ricci, Riccardo, Daza, Sara Ruiz, Saccà, Gaspare, Sanna, Isabella, Sarritzu, Valerio, Schlaadt, Judith, Schledewitz, David, Scioli, Gilda, Senyukov, Serhiy, Simancas, Adriana, Snoeys, Walter, Spannagel, Simon, Šuljić, Miljenko, Sturniolo, Alessandro, Tiltmann, Nicolas, Trifirò, Antonio, Usai, Gianluca, Vanat, Tomas, Van Beelen, Jacob Bastiaan, Varga, Laszlo, Verdoglia, Michele, Vignola, Gianpiero, Villani, Anna, Wennloef, Haakan, Witte, Jonathan, Wittwer, Rebekka Bettina

Analogue test structures were fabricated using the Tower Partners Semiconductor Co. CMOS 65 nm ISC process. The purpose was to characterise and qualify this process and to optimise the sensor for the next generation of Monolithic Active Pixels Sensor

Externí odkaz: http://arxiv.org/abs/2403.08952

`Maser-in-a-Shoebox': a portable plug-and-play maser device at room-temperature and zero magnetic-field

Autor: Ng, Wern, Wen, Yongqiang, Attwood, Max, Jones, Daniel C, Oxborrow, Mark, Alford, Neil McN., Arroo, Daan M.

Publikováno v: Appl. Phys. Lett. 124, 044004 (2024)

Masers, the microwave analogues of lasers, have seen a renaissance owing to the discovery of gain media that mase at room-temperature and zero-applied magnetic field. However, despite the ease with which the devices can be demonstrated under ambient

Externí odkaz: http://arxiv.org/abs/2310.09269

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Autor: Cretu, Ana-Maria, Jones, Daniel, de Montjoye, Yves-Alexandre, Tople, Shruti

Machine learning models have been shown to leak sensitive information about their training datasets. Models are increasingly deployed on devices, raising concerns that white-box access to the model parameters increases the attack surface compared to

Externí odkaz: http://arxiv.org/abs/2306.05093

Demonstration of machine-learning-enhanced Bayesian quantum state estimation

Autor: Lohani, Sanjaya, Lukens, Joseph M., Davis, Atiyya A., Khannejad, Amirali, Regmi, Sangita, Jones, Daniel E., Glasser, Ryan T., Searles, Thomas A., Kirby, Brian T.

Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum foundations. Here, we experimentally realize an approach for defining cu

Externí odkaz: http://arxiv.org/abs/2212.08032