Mina Alishahi

30 papers A 1B 2C 7Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mutual impact of feature selection and privacy-preserving mechanisms.
Int. J. Mach. Learn. Cybern.
Mina Alishahi, Vahideh Moghtadaiee, Amir Fathalizadeh, Milad Rabiei
2025 J jnl
A survey and future outlook on indoor location fingerprinting privacy preservation.
Comput. Networks
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
2025 J jnl
Advances and Future Directions in Information Security and Data Privacy.
Entropy
Mina Alishahi
2025 J jnl
Differentially private GANs for generating synthetic indoor location data.
Int. J. Inf. Sec.
Vahideh Moghtadaiee, Mina Alishahi, Milad Rabiei
2025 A conf
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness.
ECAI
Héber Hwang Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche
2025 J jnl
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness.
CoRR
Héber Hwang Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche
2025 — conf
Fairness Under Noise: How Differential Privacy Affects Bias in GANs-Generated Data.
NordSec
Ilse Harmers, Mina Alishahi
2025 J jnl
Fed-GWAS: Privacy-preserving individualized incentive-based cross-device federated GWAS learning.
J. Inf. Secur. Appl.
Omid Torki, Maede Ashouri-Talouki, Mina Alishahi
2025 — conf
Federated Few-Shot Zone Learning for Indoor Localization.
ICL-GNSS
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
2025 C conf
From Real to Synthetic: GAN and DPGAN for Privacy Preserving Classifications.
SECRYPT
Mohammad Emadi, Vahideh Moghtadaiee, Mina Alishahi
2025 C conf
Learning Without Sharing: A Comparative Study of Federated Learning Models for Healthcare.
SECRYPT
Anja Campmans, Mina Alishahi, Vahideh Moghtadaiee
2024 J jnl
Anonify: Decentralized Dual-level Anonymity for Medical Data Donation.
Proc. Priv. Enhancing Technol.
Sarah Abdelwahab Gaballah, Lamya Abdullah, Mina Alishahi, Thanh Hoang Long Nguyen, Ephraim Zimmer, Max Mühlhäuser, Karola Marky
2024 C conf
Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning.
SECRYPT
Lucía Alonso, Mina Alishahi
2024 — ed.
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
ESORICS Workshops (2)
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
2024 J jnl
Differentially Private GANs for Generating Synthetic Indoor Location Data.
CoRR
Vahideh Moghtadaiee, Mina Alishahi, Milad Rabiei
2024 J jnl
Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection.
IEEE Trans. Emerg. Top. Comput.
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
2024 J jnl
Indoor Location Fingerprinting Privacy: A Comprehensive Survey.
CoRR
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
2024 C conf
Local Differential Privacy for Data Clustering.
SECRYPT
Lisa Bruder, Mina Alishahi
2024 C conf
Membership Inference Attacks Against Indoor Location Models.
SECRYPT
Vahideh Moghtadaiee, Amir Fathalizadeh, Mina Alishahi
2023 B conf
BC-FL k-means: A Blockchain-based Framework for Federated Clustering.
TrustCom
Mina Alishahi, Wouter Leeuw, Nicola Zannone
2023 — conf
Feature Selection on Anonymized Datasets.
DASC/PiCom/CBDCom/CyberSciTech
Mina Alishahi, Vahideh Moghtadaiee
2023 — conf
Pixels Who Violate Our Privacy! Deep Learning for Identifying Images' Key Pixels.
ESORICS Workshops (2)
Carmen Veenker, Danny Opdam, Mina Alishahi
2022 J jnl
Add noise to remove noise: Local differential privacy for feature selection.
Comput. Secur.
Mina Alishahi, Vahideh Moghtadaiee, Hojjat Navidan
2022 — conf
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy.
EuroS&P Workshops
Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi
2022 J jnl
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy.
CoRR
Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi
2022 — conf
Local Differential Privacy for Private Construction of Classification Algorithms.
NordSec
Mina Alishahi, Daan Gast, Sam Vermeiren
2022 J jnl
On the privacy protection of indoor location dataset using anonymization.
Comput. Secur.
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
2021 C conf
Comparing Classifiers' Performance under Differential Privacy.
SECRYPT
Milan Lopuhaä-Zwakenberg, Mina Alishahi, Jeroen Kivits, Jordi Klarenbeek, Gert-Jan van der Velde, Nicola Zannone
2021 C conf
Multi-Party Private Set Intersection Protocols for Practical Applications.
SECRYPT
Aslí Bay, Zeki Erkin, Mina Alishahi, Jelle Vos
2021 B conf
Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets.
DBSec
Mina Alishahi, Nicola Zannone