Mohammad Malekzadeh
Mohammad Malekzadeh
Nokia Bell Labs
Verified email at - Homepage
Cited by
Cited by
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
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
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
F Mo, A Borovykh, M Malekzadeh, S Demetriou, D Gündüz, H Haddadi
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
Running Neural Networks on the NIC
G Siracusano, S Galea, D Sanvito, M Malekzadeh, H Haddadi, G Antichi, ...
arXiv preprint arXiv:2009.02353, 2020
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-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
Deep Learning for Privacy in Multimedia
A Cavallaro, M Malekzadeh, AS Shamsabadi
ACM International Conference on Multimedia, 4777-4778, 2020
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
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
Vicious Classifiers: Data Reconstruction Attack at Inference Time
M Malekzadeh, D Gunduz
arXiv preprint arXiv:2212.04223, 2022
Efficient Hyperparameter Optimization for Differentially Private Deep Learning
A Priyanshu, R Naidu, F Mireshghallah, M Malekzadeh
arXiv preprint arXiv:2108.03888, 2021
Centaur: Federated Learning for Constrained Edge Devices
F Mo, M Malekzadeh, S Chatterjee, F Kawsar, A Mathur
arXiv preprint arXiv:2211.04175, 2022
Machine Learning Algorithms for Privacy-preserving Behavioral Data Analytics
M Malekzadeh
Queen Mary University of London, 2021
A Multi-Generational Social Learning Model: The Effect of Information Cascade on Aggregate Welfare
M Barghandan, M Malekzadeh, A Safdel, I Mazloomzadeh
IEEE/ACM Conference on Advances in Social Networks Analysis and Mining …, 2014
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