Vitaly Shmatikov
Vitaly Shmatikov
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Zitiert von
Membership inference attacks against machine learning models
R Shokri, M Stronati, C Song, V Shmatikov
2017 IEEE symposium on security and privacy (SP), 3-18, 2017
Robust de-anonymization of large sparse datasets
A Narayanan, V Shmatikov
2008 IEEE Symposium on Security and Privacy (sp 2008), 111-125, 2008
Privacy-preserving deep learning
R Shokri, V Shmatikov
Proceedings of the 22nd ACM SIGSAC conference on computer and communications …, 2015
How to backdoor federated learning
E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov
International conference on artificial intelligence and statistics, 2938-2948, 2020
De-anonymizing social networks
A Narayanan, V Shmatikov
2009 30th IEEE symposium on security and privacy, 173-187, 2009
Exploiting unintended feature leakage in collaborative learning
L Melis, C Song, E De Cristofaro, V Shmatikov
2019 IEEE symposium on security and privacy (SP), 691-706, 2019
Airavat: Security and privacy for MapReduce.
I Roy, STV Setty, A Kilzer, V Shmatikov, E Witchel
NSDI 10, 297-312, 2010
The most dangerous code in the world: validating SSL certificates in non-browser software
M Georgiev, S Iyengar, S Jana, R Anubhai, D Boneh, V Shmatikov
Proceedings of the 2012 ACM conference on Computer and communications …, 2012
Fast dictionary attacks on passwords using time-space tradeoff
A Narayanan, V Shmatikov
Proceedings of the 12th ACM conference on Computer and communications …, 2005
Machine learning models that remember too much
C Song, T Ristenpart, V Shmatikov
Proceedings of the 2017 ACM SIGSAC Conference on computer and communications …, 2017
How to break anonymity of the netflix prize dataset
A Narayanan, V Shmatikov
arXiv preprint cs/0610105, 2006
Myths and fallacies of" personally identifiable information"
A Narayanan, V Shmatikov
Communications of the ACM 53 (6), 24-26, 2010
The cost of privacy: destruction of data-mining utility in anonymized data publishing
J Brickell, V Shmatikov
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Differential privacy has disparate impact on model accuracy
E Bagdasaryan, O Poursaeed, V Shmatikov
Advances in neural information processing systems 32, 2019
Constraint solving for bounded-process cryptographic protocol analysis
J Millen, V Shmatikov
Proceedings of the 8th ACM conference on Computer and Communications …, 2001
" You might also like:" Privacy risks of collaborative filtering
JA Calandrino, A Kilzer, A Narayanan, EW Felten, V Shmatikov
2011 IEEE symposium on security and privacy, 231-246, 2011
Timing analysis in low-latency mix networks: Attacks and defenses
V Shmatikov, MH Wang
Computer Security–ESORICS 2006: 11th European Symposium on Research in …, 2006
Blind backdoors in deep learning models
E Bagdasaryan, V Shmatikov
30th USENIX Security Symposium (USENIX Security 21), 1505-1521, 2021
Salvaging federated learning by local adaptation
T Yu, E Bagdasaryan, V Shmatikov
arXiv preprint arXiv:2002.04758, 2020
Finite-State Analysis of SSL 3.0.
JC Mitchell, V Shmatikov, U Stern
USENIX Security Symposium 1, 201-216, 1998
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