Zobrazeno 1 - 10
of 9 201
pro vyhledávání: '"Maple A."'
Statistical heterogeneity is a measure of how skewed the samples of a dataset are. It is a common problem in the study of differential privacy that the usage of a statistically heterogeneous dataset results in a significant loss of accuracy. In feder
Externí odkaz:
http://arxiv.org/abs/2411.04579
Autor:
Radanliev, Petar, De Roure, David, Maple, Carsten, Nurse, Jason R. C., Nicolescu, Razvan, Ani, Uchenna
We present a dependency model tailored to the context of current challenges in data strategies and make recommendations for the cybersecurity community. The model can be used for cyber risk estimation and assessment and generic risk impact assessment
Externí odkaz:
http://arxiv.org/abs/2410.09194
Autor:
van Dijk, Bram, Islam, Saif ul, Achterberg, Jim, Waseem, Hafiz Muhammad, Gallos, Parisis, Epiphaniou, Gregory, Maple, Carsten, Haas, Marcel, Spruit, Marco
Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due to privacy-related constraints on sharing data in healthcare contexts.
Externí odkaz:
http://arxiv.org/abs/2409.00701
Autor:
White, B. D., Huang, K., Fipps, I. L., Hamlin, J. J., Jang, S., Smith, G. J., Xia, B., Simonson, J. W., Nelson, C. S., Aronson, M. C., Maple, M. B.
We report measurements of magnetization, specific heat, and thermal expansion performed on As-deficient MnAs single crystals (MnAs$_{0.968}$). Ferromagnetic order is observed near $T_C \simeq$ 306 K on warming and $T_C \simeq$ 302 K on cooling, which
Externí odkaz:
http://arxiv.org/abs/2408.07781
Autor:
Yadav, S., Delgado, S., Bernal, O. O., MacLaughlin, D. E., Liu, Y., Jiang, D., Santana, O., Mushammel, A., Shu, Lei, Huang, K., Yazici, D., Maple, M. B.
We report results of magnetization and $^{19}$F NMR measurements in the normal state of as-grown LaO$_{0.5}$F$_{0.5}$BiS$_2$. The magnetization is dominated by a temperature-independent diamagnetic component and a field- and temperature-dependent par
Externí odkaz:
http://arxiv.org/abs/2408.06284
Financial institutions rely on data for many operations, including a need to drive efficiency, enhance services and prevent financial crime. Data sharing across an organisation or between institutions can facilitate rapid, evidence-based decision-mak
Externí odkaz:
http://arxiv.org/abs/2407.19979
Since its implementation in May 2018, the General Data Protection Regulation (GDPR) has prompted businesses to revisit and revise their data handling practices to ensure compliance. The privacy policy, which serves as the primary means of informing u
Externí odkaz:
http://arxiv.org/abs/2407.06778
Autor:
Rosati, Domenic, Wehner, Jan, Williams, Kai, Bartoszcze, Łukasz, Atanasov, David, Gonzales, Robie, Majumdar, Subhabrata, Maple, Carsten, Sajjad, Hassan, Rudzicz, Frank
Releasing open-source large language models (LLMs) presents a dual-use risk since bad actors can easily fine-tune these models for harmful purposes. Even without the open release of weights, weight stealing and fine-tuning APIs make closed models vul
Externí odkaz:
http://arxiv.org/abs/2405.14577
Autor:
Deng, Yuhang, Taraporevala, Farhad, Wang, Haozhe, Lee-Wong, Eric, Moir, Camilla M., Lim, Jinhyuk, Sinha, Shubham, Xie, Weiwei, Hamlin, James, Vohra, Yogesh, Maple, M. Brian
Single crystalline FeSi samples with a conducting surface state (CSS) were studied under high pressure ($\textit{P}$) and magnetic field ($\textit{B}$) by means of electrical resistance ($\textit{R}$) measurements to explore how the bulk semiconducti
Externí odkaz:
http://arxiv.org/abs/2405.04739
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating partial PMU placement that can ensure system observab
Externí odkaz:
http://arxiv.org/abs/2404.10520