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ORCIDMina Alishahi
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- affiliation: Eindhoven University of Technology, The Netherlands
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2020 – today
- 2024
[j8]Sarah Abdelwahab Gaballah, Lamya Abdullah, Mina Alishahi, Thanh Hoang Long Nguyen, Ephraim Zimmer, Max Mühlhäuser, Karola Marky:
Anonify: Decentralized Dual-level Anonymity for Medical Data Donation. Proc. Priv. Enhancing Technol. 2024(3): 94-108 (2024)- [j7]Amir Fathalizadeh
, Vahideh Moghtadaiee, Mina Alishahi:
Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection. IEEE Trans. Emerg. Top. Comput. 12(1): 293-306 (2024) - [c38]Lucía Alonso, Mina Alishahi:
Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning. SECRYPT 2024: 467-474 - [c37]Vahideh Moghtadaiee, Amir Fathalizadeh, Mina Alishahi:
Membership Inference Attacks Against Indoor Location Models. SECRYPT 2024: 584-591 - [c36]Lisa Bruder, Mina Alishahi:
Local Differential Privacy for Data Clustering. SECRYPT 2024: 820-825 - [e1]Sokratis K. Katsikas, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Maria Ugarelli, Isabel Praça, Wenjuan Li, Weizhi Meng, Steven Furnell, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Michele Ianni, Mila Dalla Preda, Kim-Kwang Raymond Choo, Miguel Pupo Correia, Abhishta Abhishta, Giovanni Sileno, Mina Alishahi, Harsha K. Kalutarage, Naoto Yanai:
Computer Security. ESORICS 2023 International Workshops - CPS4CIP, ADIoT, SecAssure, WASP, TAURIN, PriST-AI, and SECAI, The Hague, The Netherlands, September 25-29, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14399, Springer 2024, ISBN 978-3-031-54128-5 [contents] - [i3]Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi:
Indoor Location Fingerprinting Privacy: A Comprehensive Survey. CoRR abs/2404.07345 (2024) - [i2]Vahideh Moghtadaiee, Mina Alishahi, Milad Rabiei:
Differentially Private GANs for Generating Synthetic Indoor Location Data. CoRR abs/2404.07366 (2024) - 2023
- [c35]Mina Alishahi, Vahideh Moghtadaiee:
Feature Selection on Anonymized Datasets. DASC/PiCom/CBDCom/CyberSciTech 2023: 852-859 - [c34]Carmen Veenker, Danny Opdam, Mina Alishahi:
Pixels Who Violate Our Privacy! Deep Learning for Identifying Images' Key Pixels. ESORICS Workshops (2) 2023: 552-568 - [c33]Mina Alishahi, Wouter Leeuw, Nicola Zannone:
BC-FL k-means: A Blockchain-based Framework for Federated Clustering. TrustCom 2023: 1348-1354 - 2022
- [j6]Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi:
On the privacy protection of indoor location dataset using anonymization. Comput. Secur. 117: 102665 (2022) - [j5]Mina Alishahi, Vahideh Moghtadaiee, Hojjat Navidan:
Add noise to remove noise: Local differential privacy for feature selection. Comput. Secur. 123: 102934 (2022) - [j4]Mina Sheikhalishahi, Andrea Saracino, Fabio Martinelli, Antonio La Marra:
Privacy preserving data sharing and analysis for edge-based architectures. Int. J. Inf. Sec. 21(1): 79-101 (2022) - [c32]Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. EuroS&P Workshops 2022: 514-523 - [c31]Mina Alishahi, Daan Gast, Sam Vermeiren:
Local Differential Privacy for Private Construction of Classification Algorithms. NordSec 2022: 58-79 - [i1]Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. CoRR abs/2207.00633 (2022) - 2021
- [j3]Mina Sheikhalishahi, Ischa Stork, Nicola Zannone:
Privacy-preserving policy evaluation in multi-party access control. J. Comput. Secur. 29(6): 613-650 (2021) - [c30]Mina Alishahi, Nicola Zannone:
Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets. DBSec 2021: 237-258 - [c29]Milan Lopuhaä-Zwakenberg, Mina Alishahi, Jeroen Kivits, Jordi Klarenbeek, Gert-Jan van der Velde, Nicola Zannone:
Comparing Classifiers' Performance under Differential Privacy. SECRYPT 2021: 50-61 - [c28]Aslí Bay, Zeki Erkin, Mina Alishahi, Jelle Vos:
Multi-Party Private Set Intersection Protocols for Practical Applications. SECRYPT 2021: 515-522 - 2020
- [j2]Mina Sheikhalishahi, Andrea Saracino, Fabio Martinelli, Antonio La Marra, Mohammed Mejri, Nadia Tawbi:
Digital Waste Disposal: an automated framework for analysis of spam emails. Int. J. Inf. Sec. 19(5): 499-522 (2020) - [j1]Antonio La Marra, Fabio Martinelli, Francesco Mercaldo, Andrea Saracino, Mina Sheikhalishahi:
D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 11(3): 1-28 (2020) - [c27]Mina Sheikhalishahi, Nicola Zannone:
On the Comparison of Classifiers' Construction over Private Inputs. TrustCom 2020: 691-698 - [c26]Mina Sheikhalishahi, Nicola Zannone:
Privacy Preserving Statistical Detection of Adversarial Instances. WETICE 2020: 159-164
2010 – 2019
- 2019
- [c25]Fabio Martinelli, Mina Sheikh Alishahi:
Distributed Data Anonymization. DASC/PiCom/DataCom/CyberSciTech 2019: 580-586 - [c24]Fatemeh Khodaparast, Mina Sheikhalishahi, Hassan Haghighi, Fabio Martinelli:
Privacy-Preserving LDA Classification over Horizontally Distributed Data. IDC 2019: 65-74 - [c23]Mina Sheikhalishahi, Majid Nateghizad, Fabio Martinelli, Zekeriya Erkin, Marco Loog:
On the Statistical Detection of Adversarial Instances over Encrypted Data. STM 2019: 71-88 - [c22]Mina Sheikhalishahi, Gamze Tillem, Zekeriya Erkin, Nicola Zannone:
Privacy-Preserving Multi-Party Access Control. WPES@CCS 2019: 1-13 - 2018
- [c21]Fatemeh Khodaparast, Mina Sheikhalishahi, Hassan Haghighi, Fabio Martinelli:
Privacy Preserving Random Decision Tree Classification Over Horizontally and Vertically Partitioned Data. DASC/PiCom/DataCom/CyberSciTech 2018: 600-607 - [c20]Mona Hamidi, Mina Sheikhalishahi, Fabio Martinelli:
Privacy Preserving Expectation Maximization (EM) Clustering Construction. DCAI 2018: 255-263 - [c19]Mina Sheikhalishahi, Mona Hamidi, Fabio Martinelli:
Privacy Preserving Collaborative Agglomerative Hierarchical Clustering Construction. ICISSP (Revised Selected Papers) 2018: 261-280 - [c18]Mona Hamidi, Mina Sheikhalishahi, Fabio Martinelli:
Secure Two-party Agglomerative Hierarchical Clustering Construction. ICISSP 2018: 432-437 - [c17]Mona Hamidi, Mina Sheikhalishahi, Fabio Martinelli:
A Secure Distributed Framework for Agglomerative Hierarchical Clustering Construction. PDP 2018: 430-435 - [c16]Giacomo Giorgi, Fabio Martinelli, Andrea Saracino, Mina Sheikhalishahi:
Walking Through the Deep: Gait Analysis for User Authentication Through Deep Learning. SEC 2018: 62-76 - 2017
- [c15]Mina Sheikhalishahi, Fabio Martinelli:
Privacy-Utility Feature Selection as a tool in Private Data Classification. DCAI 2017: 254-261 - [c14]Gianpiero Costantino, Antonio La Marra, Fabio Martinelli, Andrea Saracino, Mina Sheikhalishahi:
Privacy-preserving text mining as a service. ISCC 2017: 890-897 - [c13]Mina Sheikhalishahi, Fabio Martinelli:
Privacy preserving clustering over horizontal and vertical partitioned data. ISCC 2017: 1237-1244 - [c12]Mario Faiella, Antonio La Marra, Fabio Martinelli, Francesco Mercaldo, Andrea Saracino, Mina Sheikhalishahi:
A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware. PDP 2017: 321-328 - [c11]Giacomo Giorgi, Fabio Martinelli, Andrea Saracino, Mina Sheikhalishahi:
Try Walking in My Shoes, if You Can: Accurate Gait Recognition Through Deep Learning. SAFECOMP Workshops 2017: 384-395 - [c10]Mina Sheikhalishahi, Fabio Martinelli:
Privacy Preserving Hierarchical Clustering over Multi-party Data Distribution. SpaCCS 2017: 530-544 - [c9]Mina Sheikhalishahi, Fabio Martinelli:
Privacy-Utility Feature Selection as a Privacy Mechanism in Collaborative Data Classification. WETICE 2017: 244-249 - 2016
- [c8]Mario Faiella, Fabio Martinelli, Paolo Mori, Andrea Saracino, Mina Sheikhalishahi:
Collaborative Attribute Retrieval in Environment with Faulty Attribute Managers. ARES 2016: 296-303 - [c7]Antonio La Marra, Fabio Martinelli, Andrea Saracino, Mina Sheikhalishahi:
MalProfiler: Automatic and Effective Classification of Android Malicious Apps in Behavioral Classes. FPS 2016: 3-19 - [c6]Mina Sheikhalishahi, Mohamed Mejri, Nadia Tawbi, Fabio Martinelli:
Privacy-Aware Data Sharing in a Tree-Based Categorical Clustering Algorithm. FPS 2016: 161-178 - [c5]Mina Sheikhalishahi, Mohamed Mejri, Nadia Tawbi:
On the Abstraction of a Categorical Clustering Algorithm. MLDM 2016: 659-675 - [c4]Fabio Martinelli, Andrea Saracino, Mina Sheikhalishahi:
Modeling Privacy Aware Information Sharing Systems: A Formal and General Approach. Trustcom/BigDataSE/ISPA 2016: 767-774 - 2015
- [c3]Mina Sheikhalishahi, Andrea Saracino, Mohamed Mejri, Nadia Tawbi, Fabio Martinelli:
Fast and Effective Clustering of Spam Emails Based on Structural Similarity. FPS 2015: 195-211 - [c2]Mina Sheikh Alishahi, Mohamed Mejri, Nadia Tawbi:
Clustering Spam Emails into Campaigns. ICISSP 2015: 90-97 - [c1]Mina Sheikhalishahi, Andrea Saracino, Mohamed Mejri, Nadia Tawbi, Fabio Martinelli:
Digital Waste Sorting: A Goal-Based, Self-Learning Approach to Label Spam Email Campaigns. STM 2015: 3-19
Coauthor Index
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last updated on 2024-09-07 02:04 CEST by the dblp team
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