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

GORGE

Seed features, germination and seed bank,In a previous work, the requests sequence was set deliberately by an opponent (offline optimal) algorithm in an extremely unrealistic way, leading to an unlimited competitive ratio and to extremely unreasonable and unrealistic cache management strategies. In this paper, we propose to analyze the per

Provenance

Alveoli

,Single Tweakey Cryptanalysis of Reduced-Round ,-64,ossible differentials, meet-in-the-middle, etc.). In this paper we revisit some of these attacks, identify issues with several of them, and offer a series of improved attacks which were experimentally verified. Our best attack can attack up to 18 rounds using . chosen ciphertexts data, . time, and . memory.

Generosity

SecureMCMR: Computation Outsourcing for MapReduce Applications,izes two public clouds for privacy preserving computation outsourcing for MapReduce applications. We also present analysis of 87 MapReduce applications and the operations they use. Our results on three MapReduce applications show overhead of 160%, 254%, and 380% over plaintext execution.

LATHE

Conference proceedings 2020sions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas..

Offbeat

0302-9743 38 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas..978-3-030-49784-2978-3-030-49785-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

Perceive

MultiDimensional Apollonian Gasketsproblems for differential cryptanalysis on the block cipher GIFT, and present the resulting classifier NeuroGift. We show that on these highly structured problems, our models are able to perform orders of magnitude better than the original NeuroSat, potentially paving the way for the use of specialized solvers for cryptanalysis problems.

冲击力

Harmonic Functions on the Sierpiński Gaskete use a realistic simulation environment and collect the path of the drone when flown from different points of view. A deep neural network was trained to be able to predict the location of drone operators, given the path of the drones. The model is able to achieve prediction of the location of the location of the operator with 73% accuracy.

羊齿