Synthetic Linear Analysis: Improved Attacks on CubeHash and Rabbit

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Most communication systems (e.g., e-mails, instant messengers, VPNs) use encryption to prevent third parties from learning sensitive information. However, encrypted communications protect the contents but often leak metadata: the amount of data sent and th ...

Understanding the implicit bias of training algorithms is of crucial importance in order to explain the success of overparametrised neural networks. In this paper, we study the dynamics of stochastic gradient descent over diagonal linear networks through i ...

The influence of background plasma poloidal rotation on the rotation frequency of the m/n = 2/1 drift tearing mode (DTM) has been studied in ADITYA-U tokamak. The poloidal rotation velocity of the background plasma in the ion diamagnetic direction is incre ...

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This tutorial presents recent advances on the assessment and mitigation of data and algorithmic bias in personalized rankings. We first introduce fundamental concepts and definitions associated with bias issues, covering the state of the art and describing ...

Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights into choice modelling research ques ...

SNOW-V is a stream cipher proposed by Ekdahl et al. at IACR ToSC 2019(3) with an objective to be deployed as the encryption primitive in 5G systems. The stream cipher offers 256-bit security and is ready for deployment in the post-quantum era, in which as ...

Arguably one of the main applications of the LowMC family ciphers is in the post-quantum signature scheme PICNIC. Although LowMC family ciphers have been studied from a cryptanalytic point of view before, none of these studies were directly concerned with ...

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Context. Stage IV weak lensing experiments will offer more than an order of magnitude leap in precision. We must therefore ensure that our analyses remain accurate in this new era. Accordingly, previously ignored systematic effects must be addressed.Aims. ...

Synthetic Linear Analysis: Improved Attacks on CubeHash and Rabbit

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Analyzing and Protecting Communication Metadata

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Controlling the rotation of drift tearing modes by biased electrode in ADITYA-U tokamak

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Countering Bias in Personalized Rankings From Data Engineering to Algorithm Development

A systematic review of machine learning classification methodologies for modelling passenger mode choice

Melting SNOW-V: improved lightweight architectures

Cryptanalysis of LowMC instances using single plaintext/ciphertext pair

Impact of negative bias on the piezoelectric properties through the incidence of abnormal oriented grains in Al0.62Sc0.38N thin films

Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments