Bristena Oprisanu Department of Computer Science, University College London, London, UK. To whom correspondence should be addressed. bristena.oprisanu.10@ucl.ac.uk

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2 Nov 2020 Marc Robinson-Rechavi (UNIL); Bristena Oprisanu, UCL Impact PhD student, 1st supervisor Dr. Emiliano de Cristofaro; Marian Priebe, based 

Page 18. Growing synthetic data through  [56] Bristena Oprisanu and Emilliano De Cristofaro. Anonimme: Bringing anonymity to the matchmaker exchange platform for rare disease gene discovery. 24 Mar 2021 Levente Zoltán Király and Gábor Tokai Cracking the code of the Rohonc Codex 285--315 Nicolas T. Courtois and Maria-Bristena Oprisanu  Oprisanu, Bristena (1); Parvez, Imtiaz (1); Pedram, Hossein (1); Pertierra, Marcos (1); Rahman, Mohammad Ashiqur (1); Rawat, Danda B. (1); Ross, Gordon (1)  Courtois, Nicolas T. / Oprisanu, Maria-Bristena / Schmeh, Klaus | 2019. digital version print version. 2.

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Publications 4. h-index 1. Citations 6. Highly Influential Citations 0. Follow Author Claim Author Page.

Nicolas T. Courtois and Maria-Bristena Oprisanu University College London, Gower Street, London, UK Abstract. T-310 is an important Cold War cipher [22]. It was the prin-cipal encryption algorithm used to protect various state communication lines in Eastern Germany in the 1980s. The cipher is quite robust and

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Local Volunteers. We are also tremendously grateful to a number of volunteers from UCL who have helped throughout various stages of the conference: Alexander Hicks, Alexandros Mittos, Ania Piotrowska, Apostolos Pyrgelis, Bristena Oprisanu, Enrico Mariconti, Haroon Yousaf, Ingolf Becker, Marios Isaakidis, Raphael Toledo, and Vincent Primault.

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Bristena oprisanu

2021-03-22 ↑ top ©2000-2021 STUWEB LIMITED (09573421), STUWEB RACE TIMING LIMITED (09580641), STUWEB RACE ENTRIES LIMITED (10892732) 26 Cradley Road, Cradley Heath, B64 … Nicolas T. Courtois · Maria-Bristena Oprisanu · Maria-Bristena Oprisanu How I reconstructed a Spanish cipher from 1591: Satoshi Tomokiyo · Satoshi Tomokiyo Strengthening a curated web of trust in a geographically distributed project: Gunnar E. Wolf · Gina Gallegos-García · Gina Gallegos-García 2021-03-24 Cold War Crypto, Correlation Attacks, DC, LC, T-310, Weak Keys and Backdoors Nicolas T. Courtois University College London, UK Proceedings - AnoniMME: Bringing Anonymity to the Matchmaker Exchange Platform for Rare Disease Gene Discovery - Bristena Oprisanu: 15:20 15:30 Talk - Activity landscapes of cancer cell lines predict drug response - Chen Meng: 15:30 15:40 Cryptographic Security Analysis of T-310 Nicolas T. Courtois1, Jacques Patarin2, Klaus Schmeh3, Maria-Bristena Oprisanu 1, Matteo Scarlata;4, Om Bhallamudi 1University College London, Gower Street, London, UK 2 UVSQ, CNRS, Universite de Paris-Saclay, France 3 cryptovision, Gelsenkirchen, Germany 4 Computer Science, University of Pisa, Italy Abstract. T-310/50 is an important Cold War cipher [76]. Nicolas Courtois and Maria-Bristena Oprisanu. Correlation Attacks and Long Term Keys in T-310.
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Bristena oprisanu

Imagini  24 feb. 2012 Oprisanu Luciana Ely Sweetyely Veve Andrei Costel Toader Mariana Foca Bristena Oprisanu Mihai Gabriel Cuaktemo Munioz Nicu Macsim 31 Mai 2018 SPLENDID.

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[62] Theresa Stadler, Bristena Oprisanu, and Carmela Tron- coso. Synthetic data –a privacy mirage. arXiv preprint. Page 18. Growing synthetic data through 

Fond. Bristena Oprisanu. Doktorand vid UCL. AnoniMME: Att föra anonymitet till Matchmaker Exchange-plattformen för genomsökning av sällsynta sjukdomar.


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14 Apr 2019 Casa Oprisan Bolotesti Imagini fabuloase cu palatul FARAONIC al PSD-istului Marian OprisanInconjurat de ziduri inalte de trei metri. Imagini 

Summary. Advances in genome sequencing and genomics research are bringing us closer to a new era of personalized medicine, where healthcare can be tailored to the individual’s genetic makeup and to more effective diagnosis and treatment of rare genetic diseases. bristena-op has 3 repositories available. Follow their code on GitHub. Theresa Stadler, Bristena Oprisanu, Carmela Troncoso Synthetic datasets produced by generative models are advertised as a silver-bullet solution to privacy-preserving data sharing.