Results 41 to 50 of about 11,450 (279)
Barriers for Succinct Arguments in the Random Oracle Model [PDF]
, 2020 We establish barriers on the efficiency of succinct arguments in the random oracle model. We give evidence that, under standard complexity assumptions, there do not exist succinct arguments where the argument verifier makes a small number of queries to ...
Alessandro Chiesa, Eylon Yogev
core +1 more source
ID-based transitive signature schemes without random oracle
Tongxin xuebao, 2010 Based on waters’ signature scheme,the first identity-based transitive signature scheme was proposed and proved secure against attacks in the standard model.Compared with current transitive signature schemes,the unforgeability of the signature’s ...
MA Xiao-long1 +4 more
doaj +2 more sources
Theoretical Computer Science, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Random Oracles with(out) Programmability [PDF]
, 2010 This paper investigates the Random Oracle Model (ROM) feature known as programmability, which allows security reductions in the ROM to dynamically choose the range points of an ideal hash function. This property is interesting for at least two reasons: first, because of its seeming artificiality (no standard model hash function is known to support such
Marc Fischlin +5 more
openaire +1 more source
Oracle Recording for Non-Uniform Random Oracles, and its Applications [PDF]
, 2023 In Crypto 2019, Zhandry showed how to define compressed oracles, which record quantum superposition queries to the quantum random oracle. In this paper, we extend Zhandry\u27s compressed oracle technique to non-uniformly distributed functions with ...
Minki Hhan, Aaram Yun
core
Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models
Journal of Inequalities and Applications, 2020 We study the nonasymptotic properties of a general norm penalized estimator, which include Lasso, weighted Lasso, and group Lasso as special cases, for sparse high-dimensional misspecified Cox models with time-dependent covariates.
Yijun Xiao +3 more
doaj +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Certificateless signature scheme without random oracles
Tongxin xuebao, 2015 The security of certificateless signature schemes can be proved under the random oracle model.However，any implementation of the random oracle may result in insecure schemes.Some certificateless signature schemes without random oracles are not secure ...
Yan-qiong LI, Ji-guo LI, Yi-chen ZHANG
doaj +2 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source