Mina Alishahi

IEEE Trans. Emerg. Top. Comput., 2024

2023

Pixels Who Violate Our Privacy! Deep Learning for Identifying Images' Key Pixels.

[BibT_eX]

[DOI]

Carmen Veenker

Danny Opdam

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Feature Selection on Anonymized Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Privacy preserving data sharing and analysis for edge-based architectures.

[BibT_eX]

[DOI]

Int. J. Inf. Sec., 2022

On the privacy protection of indoor location dataset using anonymization.

[BibT_eX]

[DOI]

Amir Fathalizadeh

Comput. Secur., 2022

Add noise to remove noise: Local differential privacy for feature selection.

[BibT_eX]

[DOI]

Hojjat Navidan

Comput. Secur., 2022

Local Differential Privacy for Private Construction of Classification Algorithms.

[BibT_eX]

[DOI]

Daan Gast

Sam Vermeiren

Proceedings of the Secure IT Systems, 2022

Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE European Symposium on Security and Privacy, 2022

2021

Privacy-preserving policy evaluation in multi-party access control.

[BibT_eX]

[DOI]

Ischa Stork

J. Comput. Secur., 2021

Comparing Classifiers' Performance under Differential Privacy.

[BibT_eX]

[DOI]

Milan Lopuhaä-Zwakenberg

Jeroen Kivits

Jordi Klarenbeek

Gert-Jan van der Velde

Proceedings of the 18th International Conference on Security and Cryptography, 2021

Multi-Party Private Set Intersection Protocols for Practical Applications.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Security and Cryptography, 2021

Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets.

[BibT_eX]

[DOI]

Proceedings of the Data and Applications Security and Privacy XXXV, 2021

2020

D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware.

[BibT_eX]

[DOI]

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020

Digital Waste Disposal: an automated framework for analysis of spam emails.

[BibT_eX]

[DOI]

Int. J. Inf. Sec., 2020

Privacy Preserving Statistical Detection of Adversarial Instances.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020

On the Comparison of Classifiers' Construction over Private Inputs.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Trust, 2020

2019

Privacy-Preserving Multi-Party Access Control.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society, 2019

On the Statistical Detection of Adversarial Instances over Encrypted Data.

[BibT_eX]

[DOI]

Proceedings of the Security and Trust Management - 15th International Workshop, 2019

Privacy-Preserving LDA Classification over Horizontally Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Distributed Computing XIII, 2019

Distributed Data Anonymization.

[BibT_eX]

[DOI]

Mina Sheikh Alishahi

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Walking Through the Deep: Gait Analysis for User Authentication Through Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the ICT Systems Security and Privacy Protection, 2018

A Secure Distributed Framework for Agglomerative Hierarchical Clustering Construction.

[BibT_eX]

[DOI]

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Privacy Preserving Collaborative Agglomerative Hierarchical Clustering Construction.

[BibT_eX]

[DOI]

Proceedings of the Information Systems Security and Privacy - 4th International Conference, 2018

Secure Two-party Agglomerative Hierarchical Clustering Construction.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Privacy Preserving Expectation Maximization (EM) Clustering Construction.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

Privacy Preserving Random Decision Tree Classification Over Horizontally and Vertically Partitioned Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017

Privacy-Utility Feature Selection as a Privacy Mechanism in Collaborative Data Classification.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Privacy Preserving Hierarchical Clustering over Multi-party Data Distribution.

[BibT_eX]

[DOI]

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

Try Walking in My Shoes, if You Can: Accurate Gait Recognition Through Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security, 2017

A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Privacy preserving clustering over horizontal and vertical partitioned data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Privacy-preserving text mining as a service.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Privacy-Utility Feature Selection as a tool in Private Data Classification.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016

Modeling Privacy Aware Information Sharing Systems: A Formal and General Approach.

[BibT_eX]

[DOI]

Andrea Saracino

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

On the Abstraction of a Categorical Clustering Algorithm.

[BibT_eX]

[DOI]