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pro vyhledávání: '"Anderson, Sean P."'
Fuzzing has proven to be very effective for discovering certain classes of software flaws, but less effective in helping developers process these discoveries. Conventional crash-based fuzzers lack enough information about failures to determine their
Externí odkaz:
http://arxiv.org/abs/2411.00261
Publikováno v:
Phys. Rev. B 110, 014432 (2024)
We revisit the magnetic properties of the hexagonal ferrite PbFe$_{12-x}$Ga$_x$O$_{19}$. Recent experiments have reported puzzling dependencies of the ordering temperature and the saturation magnetization on the Ga concentration $x$. To explain these
Externí odkaz:
http://arxiv.org/abs/2405.17328
Autor:
Sjöberg, Vilhelm, Dave, Kinnari, Britten, Daniel, Schett, Maria A, Sun, Xinyuan, Wang, Qinshi, Anderson, Sean Noble, Reeves, Steve, Shao, Zhong
Programs executed on a blockchain - smart contracts - have high financial stakes; their correctness is crucial. We argue, that this correctness needs to be foundational: correctness needs to be based on the operational semantics of their execution en
Externí odkaz:
http://arxiv.org/abs/2405.08348
Autor:
Anderson, Sean, Hespanha, João Pedro
Data-driven control benefits from rich datasets, but constructing such datasets becomes challenging when gathering data is limited. We consider an offline experiment design approach to gathering data where we design a control input to collect data th
Externí odkaz:
http://arxiv.org/abs/2403.05455
Publikováno v:
Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 117462J (2021)
Limited expert time is a key bottleneck in medical imaging. Due to advances in image classification, AI can now serve as decision-support for medical experts, with the potential for great gains in radiologist productivity and, by extension, public he
Externí odkaz:
http://arxiv.org/abs/2106.04684
Autor:
Anderson, Sean Noble, Blanco, Roberto, Lampropoulos, Leonidas, Pierce, Benjamin C., Tolmach, Andrew
Publikováno v:
Proceedings of the 2023 IEEE 36th Computer Security Foundations Symposium (CSF)
The term stack safety is used to describe a variety of compiler, run-time, and hardware mechanisms for protecting stack memory. Unlike "the heap," the ISA-level stack does not correspond to a single high-level language concept: different compilers us
Externí odkaz:
http://arxiv.org/abs/2105.00417
Hardware-assisted reference monitoring is receiving increasing attention as a way to improve the security of existing software. One example is the PIPE architecture extension, which attaches metadata tags to register and memory values and executes ta
Externí odkaz:
http://arxiv.org/abs/2012.10313
Deep convolutional neural networks (CNNs) are appealing for the purpose of classification of hand movements from surface electromyography (sEMG) data because they have the ability to perform automated person-specific feature extraction from raw data.
Externí odkaz:
http://arxiv.org/abs/2007.10879
Akademický článek
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Autor:
Cho, Yujin, Anderson, Sean M., Mendoza, Bernardo S., Okano, Shun, Carriles, Ramon, Arzate, N., Shkrebtii, Anatoli I., Wu, Di, Lai, Keji, Zahn, D. R. T., Downer, M. C.
In this work, we report linear and non-linear spectroscopic measurements of chemically-grown layered (from one to 37 quintuple layers) and bulk alpha-In2Se3 samples over a photon energy range of 1.0--4 eV, and compare with ab initio density functiona
Externí odkaz:
http://arxiv.org/abs/1911.01784