M. Malekzadeh

发表

Mobile Sensor Data Anonymization

Andrea Cavallaro, Mohammad Malekzadeh, Hamed Haddadi, 2019 .

Quantifying and Localizing Usable Information Leakage from Neural Network Gradients

D. Gunduz, M. Malekzadeh, A. Borovykh, 2021, 2105.13929.

Centaur: Federated Learning for Constrained Edge Devices

F. Kawsar, Akhil Mathur, S. Chatterjee, 2022, ArXiv.

Running Neural Networks on the NIC pdf

Hamed Haddadi, Roberto Bifulco, Davide Sanvito, 2020, 2009.02353.

Social balance and signed network formation games

Mohammad Malekzadeh, MohammadAmin Fazli, Pooya Jalaly Khalilabadi, 2011 .

One-dimensional electrokinetic stabilization of dredged mud

Nagaratnam Sivakugan, Mona Malekzadeh, M. Malekzadeh, 2017 .

Deep Learning for Privacy in Multimedia

Andrea Cavallaro, Ali Shahin Shamsabadi, Mohammad Malekzadeh, 2020, ACM Multimedia.

Layer-wise Characterization of Latent Information Leakage in Federated Learning

H. Haddadi, M. Malekzadeh, A. Borovykh, 2020, ArXiv.

Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis

Mohammad Malekzadeh, Hamed Haddadi, Richard G. Clegg, 2017, 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI).

Protecting Sensory Data against Sensitive Inferences

Andrea Cavallaro, Mohammad Malekzadeh, Hamed Haddadi, 2018, P2DS@EuroSys.

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

Deniz Gündüz, Anastasia Borovykh, Mohammad Malekzadeh, 2021, ArXiv.

Privacy and Utility Preserving Sensor-Data Transformations pdf

Hamed Haddadi, Richard G. Clegg, Andrea Cavallaro, 2019, Pervasive Mob. Comput..

DANA

Andrea Cavallaro, Hamed Haddadi, Richard G. Clegg, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Quantifying and Localizing Private Information Leakage from Neural Network Gradients

Hamed Haddadi, Anastasia Borovykh, Soteris Demetriou, 2021 .

Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs

Anastasia Borovykh, Mohammad Malekzadeh, Deniz Gunduz, 2021, CCS.

DANA

H. Haddadi, A. Cavallaro, R. Clegg, 2021, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

A multi-generational social learning model: The effect of information cascade on aggregate welfare

Mohammad Malekzadeh, Marziyeh Barghandan, Atefeh Safdel, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Re-architecting Traffic Analysis with Neural Network Interface Cards

Paolo Costa, R. Bifulco, G. Siracusano, 2022, NSDI.

Mobile sensor data anonymization

H. Haddadi, A. Cavallaro, R. Clegg, 2018, IoTDI.

Dopamine: Differentially Private Federated Learning on Medical Data pdf

Nitish Mital, Mohammad Malekzadeh, Deniz Gunduz, 2021, ArXiv.

Running Neural Networks on the NIC

R. Bifulco, G. Siracusano, G. Antichi, 2020, ArXiv.

Quantifying Information Leakage from Gradients pdf

Hamed Haddadi, Anastasia Borovykh, Soteris Demetriou, 2021, ArXiv.

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries

Flora D. Salim, F. Kawsar, Dimitris Spathis, 2023, ArXiv.