About Me
I am a Research Associate at Information Processing and Communications Lab at Imperial College London working on Privacy-Preserving Machine Learning with Prof. Deniz Gunduz. I have completed my PhD in Computer Science at Queen Mary University of London as a member of Centre for Intelligent Sensing under the supervision of Prof. Andrea Cavallaro (formerly, Dr. Hamed Haddadi) and Dr. Richard G. Clegg, supported by Life Sciences Institute. My Ph.D. research was focused on Machine Learning Algorithms for Privacy-preserving Behavioral Data Analytics, particularly for motion sensor data generated by mobile and wearable devices. I have been a Ph.D. intern at Brave Software where I worked on privacy-preserving content personalization, working with Dr. Dimitrios Athanasakis and Dr. Benjamin Livshits. I have also been a visiting PhD student at Imperial College London, as a member of DataboxProject, working with Dr. Hamed Haddadi. Please download my CV for more information.
Preprints
◉ Quantifying and Localizing Private Information Leakage from Neural Network Gradients
[arXiv] [ICLR Workshop Version]Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris
Demetriou
• 2021 - Preprint (Under Review).
• The preliminary version has been presented at ICLR Workshop on Distributed and Private Machine Learning
(DPML-2021).
◉ Running Neural Network Inference on the NIC
[arXiv].Giuseppe Siracusano, Salvator Galea, Davide Sanvit, Mohammad Malekzadeh, Hamed
Haddadi, Gianni Antichi, Roberto Bifulco.
• 2020 - Preprint (Under Review).
◉ Efficient Hyperparameter Optimization for Differentially Private Deep Learning
[arXiv]Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh
• 2021 - Preprint (Under Review).
Publications
◉ DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
[Journal] [arXiv] [Code] [Tutorial]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2021 - ACM Journal on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
• and ACM conference for Ubiquitous Computing (UbiComp 2021)
◉ Dopamine: Differentially Private Federated Learning on Medical Data
[Workshop] [arXiv] [Code]Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz
• 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence
(PPAI-21)
• Selected as the best submission to the ITU AI/ML in 5G Challenge, sub-challenge Privacy Preserving AI/ML in 5G networks for healthcare applications, ITU-ML5G-PS-022
◉ Privacy-Preserving Bandits
[Conference]. [arXiv]. [Code]Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, and Benjamin Livshits
• 2020 - Conference on Machine Learning and Systems (MLSys), USA.
◉ Mobile Sensor Data Anonymization
[Conference]. [arXiv]. [Code]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2019 - ACM/IEEE International Conference on Internet-of-Things Design
and Implementation (IoTDI), Canada.
◉ Protecting Sensory Data against Sensitive Inferences
[Workshop]. [arXiv]. [Code]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
• 2018 - In Proceedings of the EuroSys Workshop on Privacy by Design
in Distributed Systems (W-P2DS), Portugal.
◉ Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
[Conference]. [arXiv]. [Code]Mohammad Malekzadeh, Richard G. Clegg, and Hamed Haddadi.
• 2018 - ACM/IEEE International Conference on
Internet-of-Things Design and Implementation (IoTDI), USA.
◉ Technical Report : Fairness in Algorithmic Decision Making
[PDF] Paul-Marie Carfantan, Omar Costilla-Reyes, Delia Fuhrmann, Jonas Glesaaen, Qi
He, Andreas Kirsch, Julie Lee, Mohammad Malekzadeh, Esben Sørig, Caryn Tan, Emily Turner;
Vinh Quang.
• 2018 - Data Study Group team. (2019, February 5). Data Study Group Final
Report: Accenture. Zenodo.
◉ A Multi-Generational Social Learning Model: the Effect of Information Cascade on Aggregate Welfare
[Conference]Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel and Iren Mazloomzadeh.
• 2014 - The IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining, ASONAM 2014, China.
◉ Social Balance and Signed Network Formation Games
[PDF]Mohammad Malekzadeh, MohammadAmin Fazli, Pooya Jalaly Khalilabadi, Hamid R.
Rabiee, MohammadAli Safari.
• 2011 - The 5th SNA-KDD Workshop ’11 (SNA-KDD’11), USA.
◉ Persian CAPTCHA system to prevent automatic subscribing of software robots in web pages
[PDF](Persian)Mohammad Malekzadeh and Mehdy Bohlool.
• 2008 - The 13th National CSI Computer Science , Iran.