| Mobile sensor data anonymization M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi Proceedings of the international conference on internet of things design and …, 2019 | 245 | 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 | 207 | 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 | 93 | 2018 |
| 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 | 77 | 2022 |
| 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 | 71 | 2021 |
| Privacy and Utility Preserving Sensor-Data Transformations M Malekzadeh, RG Clegg, A Cavallaro, H Haddadi Pervasive and Mobile Computing Journal 63, 101132, 2020 | 42 | 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 | 41 | 2021 |
| 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 | 28 | 2020 |
| 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 | 27 | 2011 |
| Privacy-Preserving Bandits M Malekzadeh, D Athanasakis, H Haddadi, B Livshits Proceedings of Machine Learning and Systems (MLSys '20), 350--362, 2020 | 22 | 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 | 21 | 2020 |
| Quantifying and Localizing Usable Information Leakage from Neural Network Gradients F Mo, A Borovykh, M Malekzadeh, S Demetriou, D Gündüz, H Haddadi arXiv preprint arXiv:2105.13929, 2021 | 20* | 2021 |
| 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 | 20 | 2021 |
| CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking S Deldari, D Spathis, M Malekzadeh, F Kawsar, FD Salim, A Mathur Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 12* | 2024 |
| Efficient hyperparameter optimization for differentially private deep learning A Priyanshu, R Naidu, F Mireshghallah, M Malekzadeh arXiv preprint arXiv:2108.03888, 2021 | 8 | 2021 |
| Vicious Classifiers: Data Reconstruction Attack at Inference Time M Malekzadeh, D Gunduz arXiv preprint arXiv:2212.04223, 2023 | 7 | 2023 |
| 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 | 7 | 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 | 7 | 2017 |
| Deep Learning for Privacy in Multimedia A Cavallaro, M Malekzadeh, AS Shamsabadi ACM International Conference on Multimedia, 4777-4778, 2020 | 6 | 2020 |
| Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing M Malekzadeh, F Kawsar Proceedings of the 25th International Workshop on Mobile Computing Systems …, 2024 | 2 | 2024 |
Hamed HaddadiImperial College London / Brave SoftwareVerified email at imperial.ac.uk
