Results 151 to 160 of about 94,999 (279)

Towards Practical Data-Dependent Memory-Hard Functions with Optimal Sustained Space Trade-offs in the Parallel Random Oracle Model [PDF]

Jeremiah Blocki, Blake Holman
openalex   +1 more source

Major Conundrums and Possible Solutions in DeFi Insurance

International Journal of Finance &Economics, Volume 31, Issue 1, Page 489-501, January 2026.
ABSTRACT This paper empirically explores the early development of insurance projects in the decentralised finance (DeFi) industry, which is based on disruptive technologies like blockchain and smart contracts. A brief history of DeFi is narrated, stressing four risks of DeFi (volatility risk, cyberattack risk, liquidity risk, and regulation risk) and ...
Peng Zhou, Ying Zhang
wiley   +1 more source

On the Security of NTS-KEM in the Quantum Random Oracle Model

, 2020
Varun Maram
openalex   +2 more sources

Breaking One-Round Key-Agreement Protocols in the Random Oracle Model [PDF]

, 2008
Miroslava Sotáková
openalex   +1 more source

Uncertainty‐guided test‐time optimization for personalizing segmentation models in longitudinal medical imaging

Medical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient‐specific prior scans has shown promise, current approaches typically rely on fixed training ...
Jaehee Chun, Austin Castelo, McKell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A. Firpo, Kimberly Kirkwood, Eugene J. Koay, Kristy K. Brock   +14 more
wiley   +1 more source

Weakened Random oracle Models Without Programmability.

Weakened Random oracle Models Without Programmability.
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Multi‐Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R

Statistics in Medicine, Volume 45, Issue 1-2, January 2026.
ABSTRACT Combining predictions from multiple models into an ensemble is a widely used practice across many fields with demonstrated performance benefits. Popularized through domains such as weather forecasting and climate modeling, multi‐model ensembles are becoming increasingly common in public health and biological applications.
Li Shandross, Emily Howerton, Lucie Contamin, Harry Hochheiser, Anna Krystalli, Consortium of Infectious Disease Modeling Hubs, Nicholas G. Reich, Evan L. Ray, Alvaro J. Castro Rivadeneira, Lucie Contamin, Sebastian Funk, Aaron Gerding, Hugo Gruson, Harry Hochheiser, Emily Howerton, Melissa Kerr, Anna Krystalli, Sara L. Loo, Evan L. Ray, Nicholas G. Reich, Koji Sato, Li Shandross, Katharine Sherratt, Shaun Truelove, Martha Zorn   +24 more
wiley   +1 more source

Multi-Client Inner-Product Functional Encryption in the Random-Oracle Model

, 2020
Michel Abdalla⋆, Florian Bourse, Hugo Marival, David Pointcheval, Azam Soleimanian, Hendrik Waldner   +5 more
openalex   +4 more sources

Multi-user security bound for filter permutators in the random oracle model

, 2018
Benoît Cogliati, Titouan Tanguy
openalex   +2 more sources

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information

Statistics in Medicine, Volume 45, Issue 1-2, January 2026.
ABSTRACT Generalizing causal findings, such as the average treatment effect (ATE), from a source to a target population is a critical topic in biomedical research. Differences in the distributions of treatment effect modifiers between these populations, known as covariate shift, can lead to varying ATEs. Chen et al. [1] introduced a weighting method to
Yi Chen, Guanhua Chen, Menggang Yu
wiley   +1 more source