Zobrazeno 1 - 10
of 599
pro vyhledávání: '"A. Sasi Kumar"'
Autor:
Abadi, Aydin, Doyle, Bradley, Gini, Francesco, Guinamard, Kieron, Murakonda, Sasi Kumar, Liddell, Jack, Mellor, Paul, Murdoch, Steven J., Naseri, Mohammad, Page, Hector, Theodorakopoulos, George, Weller, Suzanne
Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data exchange. However, state-of-the-art FL solutions to identify fraudulent financial transactions
Externí odkaz:
http://arxiv.org/abs/2401.10765
Autor:
Thomas David Daniel Kazmirchuk, Daniel. J. Burnside, Jiashu Wang, Sasi Kumar Jagadeesan, Mustafa Al-gafari, Eshan Silva, Taylor Potter, Calvin Bradbury-Jost, Nishka Beersing Ramessur, Brittany Ellis, Sarah Takallou, Maryam Hajikarimlou, Houman Moteshareie, Kamaleldin B. Said, Bahram Samanfar, Eugene Fletcher, Ashkan Golshani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The agricultural fungicide cymoxanil (CMX) is commonly used in the treatment of plant pathogens, such as Phytophthora infestans. Although the use of CMX is widespread throughout the agricultural industry and internationally, the exact mechan
Externí odkaz:
https://doaj.org/article/0ff85a5d59504f62a861fc68e256b87f
How much does a machine learning algorithm leak about its training data, and why? Membership inference attacks are used as an auditing tool to quantify this leakage. In this paper, we present a comprehensive \textit{hypothesis testing framework} that
Externí odkaz:
http://arxiv.org/abs/2111.09679
Autor:
T., Ajikumari, P., Dhanya, Hazarika, Hirak Jyoti, Humayoon, Kabir S., I Thomas, Joseph, Hazarika, Labanya, Palamuttath, Mahesh, Reghunadhan, Ramnath, S., Ravikumar, Asari, K. Ravindran, C.S., Sajan, V., Sasi Kumar, Elayadom, Smitha C, P. K., Suresh Kumar, V., Vimal Kumar
Publikováno v:
T., Ajikumari and P., Dhanya and Hazarika, Hirak Jyoti and Humayoon, Kabir S. and I Thomas, Joseph and Hazarika, Labanya and Palamuttath, Mahesh and Reghunadhan, Ramnath and S., Ravikumar and Asari, K. Ravindran and C.S., Sajan and V., Sasi Kumar and Elayadom, Smitha C and P. K., Suresh Kumar and V., Vimal Kumar . The Inclination of Library Professionals to Modern Tools in the Knowledge Era., 2020 Kerala Library Association-Kottayam Region. [Book]
The edited volume of the book consists of ten articles covering the innovative practices of libraries in the digital environment. It includes the areas such as library network, e-resources, scholarly publishing, digital libraries, knowledge managemen
Externí odkaz:
http://eprints.rclis.org/40409/
Autor:
Murakonda, Sasi Kumar, Shokri, Reza
When building machine learning models using sensitive data, organizations should ensure that the data processed in such systems is adequately protected. For projects involving machine learning on personal data, Article 35 of the GDPR mandates it to p
Externí odkaz:
http://arxiv.org/abs/2007.09339
Optimizing prediction accuracy can come at the expense of fairness. Towards minimizing discrimination against a group, fair machine learning algorithms strive to equalize the behavior of a model across different groups, by imposing a fairness constra
Externí odkaz:
http://arxiv.org/abs/2006.08669
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
Nature Environment and Pollution Technology, Vol 22, Iss 1, Pp 523-526 (2023)
With India’s population growing at a rapid pace, traditional agriculture will have a tough time meeting future food demands. Water availability and conservation are major concerns for farmers. This paper aims to discuss the aspects related to desig
Externí odkaz:
https://doaj.org/article/16d7b1fbf2c046618ed7c9e5d64a7a6c