Mohammad Malekzadeh

According to our database, Mohammad Malekzadeh authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SoundCollage: Automated Discovery of New Classes in Audio Datasets.

Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh

CoRR, 2024

PaPaGei: Open Foundation Models for Optical Physiological Signals.

Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh

CoRR, 2024

Deep Unlearn: Benchmarking Machine Unlearning.

Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi

CoRR, 2024

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking.

Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing.

Mohammad Malekzadeh, Fahim Kawsar

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification.

Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

2023

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries.

Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur

CoRR, 2023

2022

Vicious Classifiers: Data Reconstruction Attack at Inference Time.

Mohammad Malekzadeh, Deniz Gündüz

CoRR, 2022

Centaur: Federated Learning for Constrained Edge Devices.

Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur

CoRR, 2022

Re-architecting Traffic Analysis with Neural Network Interface Cards.

Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Gianni Antichi, Paolo Costa, Hamed Haddadi, Roberto Bifulco

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data.

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Efficient Hyperparameter Optimization for Differentially Private Deep Learning.

Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh

CoRR, 2021

Quantifying Information Leakage from Gradients.

Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou

CoRR, 2021

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

Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz

CoRR, 2021

Dopamine: Differentially Private Federated Learning on Medical Data.

Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz

CoRR, 2021

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

Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Privacy and utility preserving sensor-data transformations.

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi

Pervasive Mob. Comput., 2020

Layer-wise Characterization of Latent Information Leakage in Federated Learning.

Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou

CoRR, 2020

Running Neural Networks on the NIC.

Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco

CoRR, 2020

Deep Learning for Privacy in Multimedia.

Andrea Cavallaro, Mohammad Malekzadeh, Ali Shahin Shamsabadi

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Privacy-Preserving Bandits.

Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

Modeling and Forecasting Art Movements with CGANs.

Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth R. Flaxman

CoRR, 2019

Mobile sensor data anonymization.

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi

Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

2018

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

Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi

Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

Protecting Sensory Data against Sensitive Inferences.

Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi

Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems, 2018

2014

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

Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel, Iren Mazloomzadeh

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014