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Due to the advancing development of quantum computers, practical attacks on conventional public-key cryptography may become feasible in the next few decades. To address this risk, post-quantum schemes that are secure against quantum attacks…

Cryptography and Security · Computer Science 2022-06-10 Soundes Marzougui , Nils Wisiol , Patrick Gersch , Juliane Krämer , Jean-Pierre Seifert

Low dimensional semiconducting structures with strong spin-orbit interaction (SOI) and induced superconductivity attracted much interest in the search for topological superconductors. Both the strong SOI and hard superconducting gap are…

We consider quantum key distribution implementations in which the receiver's apparatus is fixed and does not depend on his choice of basis at each qubit transmission. We show that, although theoretical quantum key distribution is proven…

Quantum Physics · Physics 2014-07-29 Michel Boyer , Ran Gelles , Tal Mor

We present a simple semi-perturbative argument in favour of a peculiar infrared behaviour of the (singlet) Higgs propagator. On the basis of `triviality' one expects a continuum limit with a two-point function $\Gamma_2(q) \to (q^2 +…

High Energy Physics - Phenomenology · Physics 2007-05-23 M. Consoli

Gaussian random attacks that jointly minimize the amount of information obtained by the operator from the grid and the probability of attack detection are presented. The construction of the attack is posed as an optimization problem with a…

Information Theory · Computer Science 2020-04-08 Ke Sun , Inaki Esnaola , Samir M. Perlaza , H. Vincent Poor

We consider combinatorial semi-bandits with uncorrelated Gaussian rewards. In this article, we propose the first method, to the best of our knowledge, that enables to compute the solution of the Graves-Lai optimization problem in polynomial…

Machine Learning · Statistics 2021-02-16 Thibaut Cuvelier , Richard Combes , Eric Gourdin

We propose a novel clustering mechanism based on an incompatibility property between subsets of data that emerges during model training. This mechanism partitions the dataset into subsets that generalize only to themselves, i.e., training…

Machine Learning · Computer Science 2023-04-28 Charles Jin , Melinda Sun , Martin Rinard

Neural networks (NN) classification models for Natural Language Processing (NLP) are vulnerable to the Universal Adversarial Triggers (UAT) attack that triggers a model to produce a specific prediction for any input. DARCY borrows the…

Computation and Language · Computer Science 2024-09-06 Zuquan Peng , Yuanyuan He , Jianbing Ni , Ben Niu

It is shown that the critical threshold for percolation of the overlapping strings exchanged in heavy ion collisions can naturally explain the sharp strong suppresion of $J/\psi$ shown by the experimental data on central Pb--Pb collisions,…

High Energy Physics - Phenomenology · Physics 2008-11-26 N. Armesto , M. A. Braun , E. G. Ferreiro , C. Pajares

We present techniques for effective Gaussian process (GP) modelling of multiple short time series. These problems are common when applying GP models independently to each gene in a gene expression time series data set. Such sets typically…

Machine Learning · Statistics 2012-10-10 Hande Topa , Antti Honkela

We investigate the possibility of superconductivity on the graphene lattice within the repulsive Hubbard model using the variational cluster approximation (VCA). We find that singlet superconductivity is impossible; instead, triplet…

Superconductivity · Physics 2009-08-05 Peyman Sahebsara , David Senechal

Graph neural networks (GNNs) have shown broad applicability in a variety of domains. These domains, e.g., social networks and product recommendations, are fertile ground for malicious users and behavior. In this paper, we show that GNNs are…

Machine Learning · Computer Science 2022-09-30 Ben Finkelshtein , Chaim Baskin , Evgenii Zheltonozhskii , Uri Alon

This paper examines the Galileo Open Service Navigation Message Authentication (OSNMA) and, for the first time, discovers two critical vulnerabilities, namely artificially-manipulated time synchronization (ATS) and interruptible message…

Cryptography and Security · Computer Science 2025-01-17 Haiyang Wang , Yuanyu Zhang , Xinghui Zhu , Ji He , Shuangtrui Zhao , Yulong Shen , Xiaohong Jiang

We present off-shell N=2 supergravity actions, which exhibit spontaneously broken local supersymmetry and allow for de Sitter vacua for certain values of the parameters. They are obtained by coupling the standard N=2 supergravity-matter…

High Energy Physics - Theory · Physics 2017-06-07 Sergei M. Kuzenko , Ian N. McArthur , Gabriele Tartaglino-Mazzucchelli

This paper presents a comprehensive analysis on the security of the Yi-Tan-Siew chaotic cipher proposed in [IEEE TCAS-I 49(12):1826-1829 (2002)]. A differential chosen-plaintext attack and a differential chosen-ciphertext attack are…

Cryptography and Security · Computer Science 2007-05-23 Shujun Li , Guanrong Chen , Xuanqin Mou

Due to the increasing threat of attacks on satellite systems, novel countermeasures have been developed to provide additional security. Among these, there has been a particular interest in transmitter fingerprinting, which authenticates…

Cryptography and Security · Computer Science 2026-02-13 Joshua Smailes , Sebastian Köhler , Simon Birnbach , Martin Strohmeier , Ivan Martinovic

In this paper, the vulnerability of the Vadai, Mingesz and Gingl (VMG)- Kirchhoff-Law-Johnson-Noise (KLJN) Key Exchanger (Nature, Science Report 5 (2015) 13653) against two active attacks is demonstrated. The security vulnerability arises…

Cryptography and Security · Computer Science 2022-11-15 Shahriar Ferdous , Christiana Chamon , Laszlo B. Kish

In this paper we investigate the parallelization of dual-primal isogeometric tearing and interconnecting (IETI-DP) type methods for solving large-scale continuous and discontinuous Galerkin systems of equations arising from Isogeometric…

Numerical Analysis · Mathematics 2016-11-28 Christoph Hofer

We outline, on a few instructive examples, the characteristic features of the approach to superbranes and super Born-Infeld theories based on the concept of partial spontaneous breaking of global supersymmetry (PBGS). The examples include…

High Energy Physics - Theory · Physics 2008-11-26 E. Ivanov

The nature of deep neural networks has given rise to a variety of attacks, but little work has been done to address the effect of adversarial attacks on segmentation models trained on MRI datasets. In light of the grave consequences that…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Zhongxuan Wang , Leo Xu