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Titlebook: Cyber Security Cryptography and Machine Learning; Fourth International Shlomi Dolev,Vladimir Kolesnikov,Gera Weiss Conference proceedings 2

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21#
發(fā)表于 2025-3-25 07:13:37 | 只看該作者
NeuroGIFT: Using a Machine Learning Based Sat Solver for Cryptanalysis,uroSat is its scaling to large problems. We conjecture that this lack of scaling is due to learning an all-purpose SAT solver, and that learning to solve specialized SAT problems instead should yield better results. In this article, we evaluate our hypothesis by training and testing NeuroSat on SAT
22#
發(fā)表于 2025-3-25 09:18:54 | 只看該作者
23#
發(fā)表于 2025-3-25 14:47:15 | 只看該作者
,Detecting Malicious Accounts on the Ethereum Blockchain with?Supervised Learning,. The participants in the Ethereum platform are ‘pseudo-anonymous’ and same user can have multiple accounts under multiple cryptographic identities. As a result, detecting malicious users engaged in fraudulent activities as well as attribution are quite difficult. In the recent past, multiple such a
24#
發(fā)表于 2025-3-25 18:58:53 | 只看該作者
Fast Polynomial Inversion for Post Quantum QC-MDPC Cryptography,ging tradeoffs between communication bandwidth and computational overheads. An interesting case is the set of QC-MDPC based KEMs. Here, schemes that use the Niederreiter framework require only half the communication bandwidth compared to schemes that use the McEliece framework. However, this require
25#
發(fā)表于 2025-3-25 21:56:05 | 只看該作者
Efficient CORDIC-Based Sine and Cosine Implementation for a Dataflow Architecture,The edges represent a data value being transformed by a dataflow node. Such an architecture can allow exploitation of parallelism, code sharing, and out-of-order execution. The dataflow nodes include operations from a small set of operators: logical operations, switching, addition/subtraction, and m
26#
發(fā)表于 2025-3-26 04:13:03 | 只看該作者
SecureMCMR: Computation Outsourcing for MapReduce Applications, security and confidentiality of sensitive data passed through these infrastructures is of great importance. We present SecureMCMR, a system that utilizes two public clouds for privacy preserving computation outsourcing for MapReduce applications. We also present analysis of 87 MapReduce application
27#
發(fā)表于 2025-3-26 07:47:43 | 只看該作者
28#
發(fā)表于 2025-3-26 08:34:07 | 只看該作者
Toward Self-stabilizing Blockchain, Reconstructing Totally Erased Blockchain (Preliminary Version), common uses is for crypto-currencies, where they serve as a structure to store all the transactions publicly, securely, and hopefully irreversibly. Blockchains can be permissionless, where everyone can join and potentially contribute the blockchain, and permissioned, where only a few members (usual
29#
發(fā)表于 2025-3-26 13:38:49 | 只看該作者
30#
發(fā)表于 2025-3-26 16:52:50 | 只看該作者
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