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For population studies or for the training of complex machine learning models, it is often required to gather data from different actors. In these applications, summation is an important primitive: for computing means, counts or mini-batch…

Cryptography and Security · Computer Science 2023-06-21 Valentin Hartmann , Robert West

This paper is concerned with several security notions for information theoretically secure encryptions defined by the variational (statistical) distance. To ensure the perfect secrecy (PS), the mutual information is often used to evaluate…

Cryptography and Security · Computer Science 2012-01-06 Mitsugu Iwamoto , Kazuo Ohta

This letter discusses the problem of testing the degree of randomness within an image, particularly for a shuffled or encrypted image. Its key contributions are: 1) a mathematical model of perfectly shuffled images; 2) the derivation of the…

Cryptography and Security · Computer Science 2012-11-08 Yue Wu , Sos Agaian , Joseph P. Noonan

This numeric evaluation of string metric accuracy is based on the following idea: taking the paragraph of text in one language sort all paragraphs of the document in other language by similarity with given paragraph string and consider…

Information Retrieval · Computer Science 2019-02-22 Sergej V. Znamenskij

Numerical data processing is a key task across different fields of computer technology use. However, even simple summation of values is not precise due to the floating point representation use. This paper presents a practical algorithm for…

Data Structures and Algorithms · Computer Science 2022-11-09 Vaclav Skala

In the literature there exists analytical expressions for the probability of a receiver decoding a transmitted source message that has been encoded using random linear network coding. In this work, we look into the probability that the…

Information Theory · Computer Science 2022-03-08 Jessica Claridge , Ioannis Chatzigeorgiou

Semi-supervised learning (SSL) has been widely explored in recent years, and it is an effective way of leveraging unlabeled data to reduce the reliance on labeled data. In this work, we adjust neural processes (NPs) to the semi-supervised…

Machine Learning · Computer Science 2022-07-05 Jianfeng Wang , Thomas Lukasiewicz , Daniela Massiceti , Xiaolin Hu , Vladimir Pavlovic , Alexandros Neophytou

Many proofs in discrete mathematics and theoretical computer science are based on the probabilistic method. To prove the existence of a good object, we pick a random object and show that it is bad with low probability. This method is…

Information Theory · Computer Science 2017-08-01 Pat Morin , Wolfgang Mulzer , Tommy Reddad

We consider stamps with different values (denominations) and same dimensions, and an envelope with a fixed maximum number of stamp positions. The local postage stamp problem is to find the smallest value that cannot be realized by the sum…

Data Structures and Algorithms · Computer Science 2026-01-30 Léo Colisson Palais , Jean-Guillaume Dumas , Alexis Galan , Bruno Grenet , Aude Maignan

We present the first formal verification of approximation algorithms for NP-complete optimization problems: vertex cover, independent set, set cover, center selection, load balancing, and bin packing. We uncover incompletenesses in existing…

Logic in Computer Science · Computer Science 2023-06-22 Robin Eßmann , Tobias Nipkow , Simon Robillard , Ujkan Sulejmani

Warnings have been raised about the steady diminution of privacy. More and more personal information, such as that contained electronic mail, is moving to cloud computing servers where it might be machine-searched and indexed. FauxCrypt is…

Cryptography and Security · Computer Science 2018-02-14 Devlin M. Gualtieri

Compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively.…

Performance · Computer Science 2007-05-23 B. S. Shajeemohan , Dr. V. K. Govindan

Encryption provides a method to protect data outsourced to a DBMS provider, e.g., in the cloud. However, performing database operations over encrypted data requires specialized encryption schemes that carefully balance security and…

Cryptography and Security · Computer Science 2021-03-11 Masoumeh Shafieinejad , Suraj Gupta , Jin Yang Liu , Koray Karabina , Florian Kerschbaum

Encrypted computing is an emerging technology based on a processor that `works encrypted', taking encrypted inputs to encrypted outputs while data remains in encrypted form throughout. It aims to secure user data against possible insider…

Cryptography and Security · Computer Science 2019-02-19 Peter T. Breuer

Information-theoretically secure communications are possible when channel noise is usable and when the channel has an intrinsic characteristic that a legitimate receiver (Bob) can use the noise more advantageously than an eavesdropper…

Cryptography and Security · Computer Science 2018-03-15 Tatsuya Tomaru

As the probability (and thus perplexity) of a text is calculated based on the product of the probabilities of individual tokens, it may happen that one unlikely token significantly reduces the probability (i.e., increase the perplexity) of…

Computation and Language · Computer Science 2023-07-19 Mihailo Škorić

Intensive work on quantum computing has increased interest in quantum cryptography in recent years. Although this technique is characterized by a very high level of security, there are still challenges that limit the widespread use of…

Cryptography and Security · Computer Science 2019-04-30 Marcin Niemiec

Cryptanalysis increases the level of confidence in cryptographic algorithms. We analyze the security of a symmetric cryptographic algorithm - quantum permutation pad (QPP) [8]. We found the instances of ciphertext the same as plaintext even…

Cryptography and Security · Computer Science 2023-04-24 Avval Amil , Shashank Gupta

We propose a tensor generalized approximate message passing (TeG-AMP) algorithm for low-rank tensor inference, which can be used to solve tensor completion and decomposition problems. We derive TeG-AMP algorithm as an approximation of the…

Machine Learning · Computer Science 2025-04-02 Yinchuan Li , Guangchen Lan , Xiaodong Wang

In this letter we introduce the problem of secrecy reversibility. This asks when two honest parties can distill secret bits from some tripartite distribution $p_{XYZ}$ and transform secret bits back into $p_{XYZ}$ at equal rates using local…

Quantum Physics · Physics 2015-09-02 Eric Chitambar , Ben Fortescue , Min-Hsiu Hsieh