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ORCIDNazanin Takbiri
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2020 – today
- 2022
[j5]Bo Guan
, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. IEEE Internet Things J. 9(23): 23348-23365 (2022)- 2021
- [j4]Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Privacy Loss Due to Time Series Matching of Dependent Users. IEEE Commun. Lett. 25(4): 1079-1083 (2021) - [i9]Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. CoRR abs/2108.12336 (2021) - 2020
- [j3]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy of Dependent Users Against Statistical Matching. IEEE Trans. Inf. Theory 66(9): 5842-5865 (2020) - [j2]Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. IEEE Wirel. Commun. Lett. 9(11): 2005-2009 (2020) - [c8]Bo Guan, Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Sequence Obfuscation to Thwart Pattern Matching Attacks. ISIT 2020: 884-889 - [i8]Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Privacy Loss due to Time Series Matching of Dependent Users. CoRR abs/2007.06119 (2020)
2010 – 2019
- 2019
- [j1]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Matching Anonymized and Obfuscated Time Series to Users' Profiles. IEEE Trans. Inf. Theory 65(2): 724-741 (2019) - [c7]Nazanin Takbiri, Xiaozhe Shao, Lixin Gao, Hossein Pishro-Nik:
Improving Privacy in Graphs Through Node Addition. Allerton 2019: 487-494 - [c6]Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CISS 2019: 1-6 - [c5]Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. WCNC 2019: 1-6 - [i7]Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CoRR abs/1902.06404 (2019) - [i6]Nazanin Takbiri, Xiaozhe Shao, Lixin Gao, Hossein Pishro-Nik:
Improving Privacy in Graphs Through Node Addition. CoRR abs/1910.08679 (2019) - [i5]Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. CoRR abs/1912.02209 (2019) - 2018
- [c4]Nazanin Takbiri, Ke Li, Hossein Pishro-Nik, Dennis L. Goeckel:
Statistical matching in the presence of anonymization and obfuscation: Non-asymptotic results in the discrete case. CISS 2018: 1-6 - [c3]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy Against Statistical Matching: Inter-User Correlation. ISIT 2018: 1036-1040 - [i4]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy against Statistical Matching: Inter-User Correlation. CoRR abs/1805.01296 (2018) - [i3]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy of Dependent Users Against Statistical Matching. CoRR abs/1806.11108 (2018) - [i2]Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. CoRR abs/1809.10289 (2018) - 2017
- [c2]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Fundamental limits of location privacy using anonymization. CISS 2017: 1-6 - [c1]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Limits of location privacy under anonymization and obfuscation. ISIT 2017: 764-768 - [i1]Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Matching Anonymized and Obfuscated Time Series to Users' Profiles. CoRR abs/1710.00197 (2017)
Coauthor Index
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