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

◉ Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Classifiers' Outputs

[arXiv] [Code]

Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz.
2021 - ACM Conference on Computer and Communications Security (CCS).

◉ 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 and Utility Preserving Sensor-Data Transformations

[Journal]. [arXiv]. [Code]

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, and Hamed Haddadi.
2020 - Pervasive and Mobile Computing Journal, Elsevier.

◉ Privacy-Preserving Bandits

[Conference]. [arXiv]. [Code]

Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, and Benjamin Livshits
2020 - Conference on Machine Learning and Systems (MLSys), USA.

◉ Modeling and Forecasting Art Movements with CGANs

[Journal]. [arXiv]. [Code]

Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth Flaxman.
2020 - Royal Society Open Science Journal, The Royal Society.

◉ 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.

◉ Gamified Incentives: A Badge Recommendation Model to Improve User Engagement in Social Networking Websites

[Journal].[Code]

Reza Gharibi and Mohammad Malekzadeh.
2017 - International Journal of Advanced Computer Science and Applications (IJACSA).

◉ 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.

News, Awards, Honors, etc.


◆ [JUNE-2021] I predented parts of our work recent work on Dimension-Adaptive Neural Architecture for Multivariate Sensor Data at the Third UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK 2021) .

◆ [MAY-2021] I predented some of our work on Privacy-Preserving Machine Learning on Distributed Data for IADS PhD Forum at QMUL.

◆ [JAN-2021] I predented our paper Dopamine: Differentially Private Federated Learning on Medical Data in the AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) .

◆ [DEC-2020] Our submission to the ITU's global challenge has been chosen as the best solution for the sub-challenge: "Privacy-Preserving AI/ML for Healthcare" .

◆ [OCT-2020] We presented an tutorial, Deep Learning for Privacy in Multimedia , in ACM Multimedia 2020.

◆ [JUN-2020] I started working as a Research Assistant at Information Processing and Communications Lab at Imperial College London working on reliable and privacy-preserving federated learning, with Prof. Deniz Gunduz.

◆ [OCT-2019] I was awarded a grant of £290 covering registration to Privacy Preserving Machine Learning workshop at CCS conference in London.

◆ [JUN-2019] I started my PhD internship at Brave Research in London.

◆ [OCT-2018] Our team earned first place in Imperial College AIHack 2018.

◆ [APR-2018] I was accepted on to the Alan Turing Institute Data Study Group, covering all the travelling and accomodation expenses.

◆ [APR-2018] I was awarded a grant covering registration to EuroSys conference, Porto, Portugal.

◆ [MAR-2018] I was accepted on to the 2nd CommNet2 PhD Spring School , covering all the travelling and accomodation expenses, March.

◆ [DEC-2017] I was awarded a $30000 grant of Microsoft Azure for Research storage and compute for one year in 2018.

◆ [APR-2017] I was awarded a grant of $500 covering travel to EuroSys conference, Belgrade, Serbia.

◆ [JAN-2017] I was awarded a full Ph.D. studentship, to work on privacy-preserving personal data analytics, from Queen Mary University of London, Life Sciences Initiative .

◆ [APR-2015] I co-founded shanab.pgu.ac.ir as a social media platform to connect people in academia and industry in Bushehr.

◆ [JUN-2014] I was ranked 1st among more than 30 faculty members of the engineering department at Persian Gulf University as the best teacher of the year, 2014.

◆ [JAN-2013] I co-founded Information and Communication Institute at Persian Gulf University .

◆ [JAN-2012] I started my job at Persian Gulf University as a Researcher and Lecturer in Computer Engineering.

◆ [SEP-2009] I started studying for a master's degree in Computer Engineering at Sharif University of Technology .

◆[AUG-2009] I was ranked 10th among more than 10,000 participants taking part in the M.Sc. entrance exam of IT Engineering in Iran, 2009.

◆ [JUN-2008] I was ranked 2nd among more than 50 computer engineering students during the bachelor's degree at Shahid Chamran University of Ahvaz.

◆ [SEP-2004] I started studying Computer Engineering at Shahid Chamran University of Ahvaz .


Services and Experiences

Contact Details

Email:
m.<my_last_name> (at) imperial.ac.uk

Address:

Information Processing and Communications Lab,
Department of Electrical and Electronic Engineering,
Imperial College London, South Kensington Campus. London SW7 2AZ.

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