Mohammad Malekzadeh
Mohammad Malekzadeh
Senior Research Scientist at Nokia Bell Labs
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Mobile sensor data anonymization
M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi
Proceedings of the international conference on internet of things design and …, 2019
Protecting Sensory Data against Sensitive Inferences
M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi
EuroSys Workshop on Privacy by Design in Distributed Systems Proceedings (W …, 2018
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
M Malekzadeh, RG Clegg, H Haddadi
IEEE/ACM International Conference on Internet-of-Things Design and …, 2018
Dopamine: Differentially Private Federated Learning on Medical Data
M Malekzadeh, B Hasircioglu, N Mital, K Katarya, ME Ozfatura, D Gündüz
arXiv preprint arXiv:2101.11693, 2021
Re-architecting Traffic Analysis with Neural Network Interface Cards
G Siracusano, S Galea, D Sanvito, M Malekzadeh, G Antichi, P Costa, ...
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
Privacy and Utility Preserving Sensor-Data Transformations
M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi
Pervasive and Mobile Computing Journal 63, 101132, 2020
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
M Malekzadeh, A Borovykh, D Gündüz
The ACM Conference on Computer and Communications Security (CCS), 2021
Social balance and signed network formation games
M Malekzadeh, M Fazli, PJ Khalilabadi, H Rabiee, M Safari
KDD Workshop on Social Network Analysis (SNA-KDD), 2011
Layer-wise characterization of latent information leakage in federated learning
F Mo, A Borovykh, M Malekzadeh, H Haddadi, S Demetriou
arXiv preprint arXiv:2010.08762, 2020
Running Neural Networks on the NIC
G Siracusano, S Galea, D Sanvito, M Malekzadeh, H Haddadi, G Antichi, ...
arXiv preprint arXiv:2009.02353, 2020
Privacy-Preserving Bandits
M Malekzadeh, D Athanasakis, H Haddadi, B Livshits
Proceedings of Machine Learning and Systems (MLSys '20), 350--362, 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
Quantifying and localizing private information leakage from neural network gradients
F Mo, A Borovykh, M Malekzadeh, H Haddadi, S Demetriou
arXiv preprint arXiv:2105.13929, 2021
Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites
R Gharibi, M Malekzadeh
Journal of Advanced Computer Science and Applications (IJACSA) 8 (5), 272-278, 2017
Deep Learning for Privacy in Multimedia
A Cavallaro, M Malekzadeh, AS Shamsabadi
ACM International Conference on Multimedia, 4777-4778, 2020
Vicious Classifiers: Data Reconstruction Attack at Inference Time
M Malekzadeh, D Gunduz
arXiv preprint arXiv:2212.04223, 2023
Efficient hyperparameter optimization for differentially private deep learning
A Priyanshu, R Naidu, F Mireshghallah, M Malekzadeh
arXiv preprint arXiv:2108.03888, 2021
Modelling and forecasting art movements with CGANs
E Lisi, M Malekzadeh, H Haddadi, FDH Lau, S Flaxman
Royal Society Open Science Journal 7 (4), 191569, 2020
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
S Deldari, D Spathis, M Malekzadeh, F Kawsar, F Salim, A Mathur
arXiv preprint arXiv:2307.16847, 2023
Centaur: Federated learning for constrained edge devices
F Mo, M Malekzadeh, S Chatterjee, F Kawsar, A Mathur
ICLR 2023 Workshop on Machine Learning for IoT: Datasets, Perception, and …, 2023
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