Zobrazeno 1 - 10
of 5 640
pro vyhledávání: '"A. Hore"'
Utility-preserving data privatization is of utmost importance for data-producing agencies. The popular noise-addition privacy mechanism distorts autocorrelation patterns in time series data, thereby marring utility; in response, McElroy et al. (2023)
Externí odkaz:
http://arxiv.org/abs/2411.17035
Autor:
Niloy, Ta-seen Reaz, Kumar, Saurav, Hore, Aniruddha, Hassan, Zoheb, Dietrich, Carl, Burger, Eric W., Reed, Jeffrey H., Shah, Vijay K.
This paper introduces ASCENT (context Aware Spectrum Coexistence Design and Implementation) toolset, an advanced context-aware terrestrial satellite spectrum sharing toolset designed for researchers, policymakers, and regulators. It serves two essent
Externí odkaz:
http://arxiv.org/abs/2402.05273
Autor:
Hore, Rohan, Barber, Rina Foygel
In this work, we consider the problem of building distribution-free prediction intervals with finite-sample conditional coverage guarantees. Conformal prediction (CP) is an increasingly popular framework for building such intervals with distribution-
Externí odkaz:
http://arxiv.org/abs/2310.07850
Autor:
Hore, Soumyadeep, Ghadermazi, Jalal, Paudel, Diwas, Shah, Ankit, Das, Tapas K., Bastian, Nathaniel D.
Recent advancements in artificial intelligence (AI) and machine learning (ML) algorithms, coupled with the availability of faster computing infrastructure, have enhanced the security posture of cybersecurity operations centers (defenders) through the
Externí odkaz:
http://arxiv.org/abs/2305.11039
Autor:
Alexander R. Braczkowski, Nicholas Elliot, Aggrey Rwetsiba, Tutilo Mudumba, Arjun M. Gopalaswamy, Christopher J. O’Bryan, Anna Crysell, Duan Biggs, Hamish McCallum, Michael Cima, Silvan Musobozi, Lilian Namukose, Sophia Jingo, Peter Luhonda, Ralph Schenk, Patrick Okello, Innocent Komakech, Jimmy Kisembo, Keren S. Pereira, Gilbert Drileyo, Orin Cornille, Bosco Atukwatse, Anna Engelmann, Herbert Kigongo, Philipp Kiboneka, Kevin James, Praveen Moman, Jonath Omwesigye, Kris Debref, Daniel Tiromwe, Mustafa Nsubuga, Silvano Ling, Christos Astaras, Samuel Loware, Eric Sande, Robert Kityo, Ludwig Siefert, Dinal Samarasinghe, Ade Langley, Nicholas Nuwaijuka, Nasulu Muzanganda, Brenda Asimwe, Saswata Hore, Peter Lindsey, David Gumisiriza, Richard Ojok, Fred Kakaire, Denise Namugenyi, James Kalyewa, Luke Gibson
Publikováno v:
Global Ecology and Conservation, Vol 56, Iss , Pp e03312- (2024)
Monitoring wildlife populations at scale is fraught with logistical and resource constraints. Despite this, estimating wildlife population state variables and vital rates remains crucial for science, and to assess conservation investment and effort.
Externí odkaz:
https://doaj.org/article/87956615404841778f57f3e279cf5d8d
This paper introduces an assumption-lean method that constructs valid and efficient lower predictive bounds (LPBs) for survival times with censored data. We build on recent work by Cand\`es et al. (2021), whose approach first subsets the data to disc
Externí odkaz:
http://arxiv.org/abs/2211.01227
Cyber vulnerability management is a critical function of a cybersecurity operations center (CSOC) that helps protect organizations against cyber-attacks on their computer and network systems. Adversaries hold an asymmetric advantage over the CSOC, as
Externí odkaz:
http://arxiv.org/abs/2208.02369
Guaranteeing privacy in released data is an important goal for data-producing agencies. There has been extensive research on developing suitable privacy mechanisms in recent years. Particularly notable is the idea of noise addition with the guarantee
Externí odkaz:
http://arxiv.org/abs/2207.07721
Autor:
Hore, Rohan, Ghosh, Abhik
In various practical situations, we encounter data from stochastic processes which can be efficiently modelled by an appropriate parametric model for subsequent statistical analyses. Unfortunately, the most common estimation and inference methods bas
Externí odkaz:
http://arxiv.org/abs/2204.05028
Publikováno v:
In Ecological Frontiers December 2024 44(6):1149-1157