Window dressing on bank problem loans: Evidence from natural disaster responses

Autor: Ahn, Seong Jin, Gam, Yong Kyu

Publikováno v: In Journal of Accounting and Public Policy November-December 2024 48

Variational Graph Normalized Auto-Encoders

Autor: Ahn, Seong Jin, Kim, Myoung Ho

Link prediction is one of the key problems for graph-structured data. With the advancement of graph neural networks, graph autoencoders (GAEs) and variational graph autoencoders (VGAEs) have been proposed to learn graph embeddings in an unsupervised

Externí odkaz: http://arxiv.org/abs/2108.08046

A study on the classified model and the agent collaboration model for network configuration fault management

Autor: Cho, Kwang-Jong, Ahn, Seong-Jin ^∗, Chung, Jin-Wook

Publikováno v: In Knowledge-Based Systems 2003 16(4):177-190

Realizing Security Requirements with Physical Properties: A Case Study on Paper Voting

Autor: van Cleeff, A., Dimkov, T., Pieters, Wolter, Wieringa, Roelf J., Kim, Kuinam J., Ahn, Seong Jin

Publikováno v: Proceedings of the International Conference on IT Convergence and Security (ICITCS 2011), 51-67
STARTPAGE=51;ENDPAGE=67;TITLE=Proceedings of the International Conference on IT Convergence and Security (ICITCS 2011)
Lecture Notes in Electrical Engineering ISBN: 9789400729100
ICITCS

Well-established security models exist for testing and proving the logical security of IT systems. For example, we can assert the strength of cryptographic protocols and hash functions that prevent attackers from unauthorized changes of data. By cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62d993d207d6c7b5b429fd2ac1e9ff12
http://eprints.eemcs.utwente.nl/secure2/21492/01/Van_Cleeff__et_al_-_Realizing_security_requirements_with_physical_properties

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