Mohammad Malekzadeh

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Sensitive Attributes

Privacy Preserving

Top Venues

Pervasive Mob. Comput.

Publications

Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh
Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. HotMobile (2024)
Mohammad Malekzadeh, Fahim Kawsar
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. HotMobile (2024)
Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM (2024)
Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR (2023)
Mohammad Malekzadeh, Fahim Kawsar
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. CoRR (2023)
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur
Centaur: Federated Learning for Constrained Edge Devices. CoRR (2022)
Mohammad Malekzadeh, Deniz Gündüz
Vicious Classifiers: Data Reconstruction Attack at Inference Time. CoRR (2022)
Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Gianni Antichi, Paolo Costa, Hamed Haddadi, Roberto Bifulco
Re-architecting Traffic Analysis with Neural Network Interface Cards. NSDI (2022)
Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs. CoRR (2021)
Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz
Dopamine: Differentially Private Federated Learning on Medical Data. CoRR (2021)
Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. CCS (2021)
Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh
Efficient Hyperparameter Optimization for Differentially Private Deep Learning. CoRR (2021)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (3) (2021)
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
Quantifying Information Leakage from Gradients. CoRR (2021)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. CoRR (2020)
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
Layer-wise Characterization of Latent Information Leakage in Federated Learning. CoRR (2020)
Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco
Running Neural Networks on the NIC. CoRR (2020)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Privacy and utility preserving sensor-data transformations. Pervasive Mob. Comput. 63 (2020)
Andrea Cavallaro, Mohammad Malekzadeh, Ali Shahin Shamsabadi
Deep Learning for Privacy in Multimedia. ACM Multimedia (2020)
Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits
Privacy-Preserving Bandits. MLSys (2020)
Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Ben Livshits
Privacy-Preserving Bandits. CoRR (2019)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Privacy and Utility Preserving Sensor-Data Transformations. CoRR (2019)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Mobile sensor data anonymization. IoTDI (2019)
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth Flaxman
Modeling and Forecasting Art Movements with CGANs. CoRR (2019)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Protecting Sensory Data against Sensitive Inferences. P2DS@EuroSys (2018)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Protecting Sensory Data against Sensitive Inferences. CoRR (2018)
Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. IoTDI (2018)
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
Mobile Sensor Data Anonymization. CoRR (2018)
Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. CoRR (2017)
Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel, Iren Mazloomzadeh
A multi-generational social learning model: The effect of information cascade on aggregate welfare. ASONAM (2014)