Cikkek nyilvánosan hozzáférhető megbízással - Arvind NarayananTovábbi információ
Valahol hozzáférhető: 36
Research perspectives and challenges for Bitcoin and cryptocurrencies
J Bonneau, A Miller, J Clark, A Narayanan, JA Kroll, EW Felten
Security and Privacy (SP), 2015 IEEE Symposium on, 104-121, 2015
Megbízások: Natural Sciences and Engineering Research Council of Canada
The Web never forgets: Persistent tracking mechanisms in the wild
G Acar, C Eubank, S Englehardt, M Juarez, A Narayanan, C Diaz
ACM SIGSAC Conference on Computer and Communications Security, 674-689, 2014
Megbízások: Research Foundation (Flanders)
Online tracking: A 1-million-site measurement and analysis
S Englehardt, A Narayanan
ACM Conference on Computer and Communications Security, 2016
Megbízások: US National Science Foundation
Leakage and the reproducibility crisis in machine-learning-based science
S Kapoor, A Narayanan
Patterns 4 (9), 2023
Megbízások: US National Science Foundation
Routes for breaching and protecting genetic privacy
Y Erlich, A Narayanan
Nature Reviews Genetics 15 (6), 409-421, 2014
Megbízások: US National Institutes of Health
On the instability of Bitcoin without the block reward
M Carlsten, H Kalodner, SM Weinberg, A Narayanan
ACM Conference on Computer and Communications Security, 2016
Megbízások: US National Science Foundation
Bitcoin's academic pedigree
A Narayanan, J Clark
Communications of the ACM 60 (12), 36-45, 2017
Megbízások: US National Science Foundation, Natural Sciences and Engineering Research …
Threshold-optimal DSA/ECDSA signatures and an application to Bitcoin wallet security
R Gennaro, S Goldfeder, A Narayanan
Applied Cryptography and Network Security, 13, 2016
Megbízások: US National Science Foundation
Ten simple rules for responsible big data research
M Zook, S Barocas, D Boyd, K Crawford, E Keller, SP Gangadharan, ...
PLoS computational biology 13 (3), e1005399, 2017
Megbízások: US National Science Foundation, US National Institutes of Health
Measuring the predictability of life outcomes with a scientific mass collaboration
MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ...
Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020
Megbízások: US National Science Foundation, US Department of Defense, US National …
De-anonymizing programmers via code stylometry
A Caliskan-Islam, R Harang, A Liu, A Narayanan, C Voss, F Yamaguchi, ...
24th USENIX security symposium (USENIX Security 15), 255-270, 2015
Megbízások: German Research Foundation
BlockSci: Design and applications of a blockchain analysis platform
H Kalodner, M Möser, K Lee, S Goldfeder, M Plattner, A Chator, ...
29th USENIX Security Symposium (USENIX Security 20), 2721-2738, 2020
Megbízások: US National Science Foundation, European Commission
Dark Patterns: Past, Present, and Future
A Narayanan, A Mathur, M Chetty, M Kshirsagar
Queue 18 (2), 67-92, 2020
Megbízások: US National Science Foundation
REVISE: A tool for measuring and mitigating bias in visual datasets
A Wang, A Liu, R Zhang, A Kleiman, L Kim, D Zhao, I Shirai, A Narayanan, ...
International Journal of Computer Vision 130 (7), 1790-1810, 2022
Megbízások: US National Science Foundation
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset
R Amos, G Acar, E Lucherini, M Kshirsagar, A Narayanan, J Mayer
The Web Conference, 2021
Megbízások: Research Foundation (Flanders)
De-anonymizing Web Browsing Data with Social Networks
J Su, A Shukla, S Goel, A Narayanan
World Wide Web Conference, 2017
Megbízások: US National Science Foundation
Redefining genomic privacy: trust and empowerment
Y Erlich, JB Williams, D Glazer, K Yocum, N Farahany, M Olson, ...
PLoS biology 12 (11), e1001983, 2014
Megbízások: US National Institutes of Health, Canadian Institutes of Health Research …
Formal barriers to longest-chain proof-of-stake protocols
J Brown-Cohen, A Narayanan, A Psomas, SM Weinberg
Proceedings of the 2019 ACM Conference on Economics and Computation, 459-473, 2019
Megbízások: US National Science Foundation
I never signed up for this! Privacy implications of email tracking
S Englehardt, J Han, A Narayanan
Proceedings of the Privacy Enhancing Technologies Symposium, 2018
Megbízások: US National Science Foundation
An empirical analysis of linkability in the monero blockchain
A Miller, M Möser, K Lee, A Narayanan
arXiv preprint arXiv:1704.04299, 2017
Megbízások: US National Science Foundation
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