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

任意

Robust Malicious Domain Detection,ture set dimensional space in half (from nine to four features), we still improve the performance of the classifier (an increase in the model’s F1-score from 92.92% to 95.81%). The fact that our models are robust to malicious perturbations but are also useful for clean data demonstrates the effectiv

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expeditious

Efficient CORDIC-Based Sine and Cosine Implementation for a Dataflow Architecture, on the ., resulting in increased power consumption and lower throughput. Volder proposed the CORDIC algorithm for trigonometric functions, expressed in terms of basic rotations. In this work, we present a correctly-rounded and efficient implementation of the CORDIC algorithm for the dataflow archit

書法

Toward Self-stabilizing Blockchain, Reconstructing Totally Erased Blockchain (Preliminary Version),ead to the complete corruption of the ledger and even to the destruction of ledger copies the nodes hold. We will suggest a solution for the reconstruction of the blockchain in the event of such an attack. Our solution will include a mandatory publication of additional information by the private use

六邊形

A Recommender System for Efficient Implementation of Privacy Preserving Machine Learning Primitives manner. We formulate the recommender system as a multi objective multi constraints optimization problem along with a simpler single objective multi constraint optimization problem. We solve this optimization using TOPSIS based on experimental analysis performed on three prominent FHE libraries HEli

propose

CryptoRNN - Privacy-Preserving Recurrent Neural Networks Using Homomorphic Encryption, work with the most popular activation functions for neural networks (sigmoid, ReLU and tanh). In this paper, we suggest several methods to handle both issues and discuss the trade-offs between the proposed methods. We use several benchmark datasets to compare the encrypted and unencrypted versions

委派

,Single Tweakey Cryptanalysis of?Reduced-Round ,-64,ed by the . competitions, multiple attacks on it were reported in different settings (e.g. single vs.?related-tweakey) using different techniques (impossible differentials, meet-in-the-middle, etc.). In this paper we revisit some of these attacks, identify issues with several of them, and offer a se

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提名的名單

Robust Malicious Domain Detection,k communications (e.g., C&C, phishing, and spear-phishing). Despite the continuous progress in detecting these attacks, many alarming problems remain open, such as the weak spots of the defense mechanisms. Because ML has become one of the most prominent methods of malware detection, we propose a rob