Mohammad Malekzadeh

45 papers A* 3A 2B 1Misc 6Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConSensus: Multi-Agent Collaboration for Multimodal Sensing. CoRR Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, Fahim Kawsar, Lorena Qendro
2025	J	`jnl`	AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks. CoRR Irene Tenison, Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh
2025	J	`jnl`	CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models. CoRR Yuxuan Shu, Peter H. Charlton, Fahim Kawsar, Jussi Hernesniemi, Mohammad Malekzadeh
2025	J	`jnl`	Contrastive Self-Supervised Learning at the Edge: An Energy Perspective. CoRR Fernanda Famá, Roberto M. Pinheiro Pereira, Charalampos Kalalas, Paolo Dini, Lorena Qendro, Fahim Kawsar, Mohammad Malekzadeh
2025	A	`conf`	Deep Unlearn: Benchmarking Machine Unlearning for Image Classification. EuroS&P Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi
2025	Misc	`conf`	Enhancing Efficiency in Multidevice Federated Learning through Data Selection. SEC Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur
2025	Misc	`conf`	PRimuS: Pretraining IMU Encoders with Multimodal Self-Supervision. ICASSP Arnav M. Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh
2025	A*	`conf`	PaPaGei: Open Foundation Models for Optical Physiological Signals. ICLR Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2025	Misc	`conf`	SoundCollage: Automated Discovery of New Classes in Audio Datasets. ICASSP Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh
2024	A	`conf`	CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
2024	J	`jnl`	Deep Unlearn: Benchmarking Machine Unlearning. CoRR Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi
2024	J	`jnl`	PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision. CoRR Arnav M. Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh
2024	J	`jnl`	PaPaGei: Open Foundation Models for Optical Physiological Signals. CoRR Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2024	Misc	`conf`	Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. HotMobile Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh
2024	Misc	`conf`	Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. HotMobile Mohammad Malekzadeh, Fahim Kawsar
2024	J	`jnl`	SoundCollage: Automated Discovery of New Classes in Audio Datasets. CoRR Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh
2024	—	`conf`	Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing. BMVC Workshops Mohammad Malekzadeh, Deniz Gündüz
2023	J	`jnl`	Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
2023	—	`ed.`	Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning, WiseML2023, Guildford, United Kingdom, 1 June 2023 WiseML@WiSec Deniz Gündüz, Mohammad Malekzadeh, Melek Önen, Yalin E. Sagduyu, Yi Shi, Junqing Zhang
2023	J	`jnl`	Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. CoRR Mohammad Malekzadeh, Fahim Kawsar
2022	J	`jnl`	Centaur: Federated Learning for Constrained Edge Devices. CoRR Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur
2022	Misc	`conf`	Re-architecting Traffic Analysis with Neural Network Interface Cards. NSDI Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Gianni Antichi, Paolo Costa, Hamed Haddadi, Roberto Bifulco
2022	J	`jnl`	Vicious Classifiers: Data Reconstruction Attack at Inference Time. CoRR Mohammad Malekzadeh, Deniz Gündüz
2021	J	`jnl`	DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2021	J	`jnl`	Dopamine: Differentially Private Federated Learning on Medical Data. CoRR Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz
2021	J	`jnl`	Efficient Hyperparameter Optimization for Differentially Private Deep Learning. CoRR Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh
2021	A*	`conf`	Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. CCS Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
2021	J	`jnl`	Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs. CoRR Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
2021	J	`jnl`	Quantifying Information Leakage from Gradients. CoRR Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2020	J	`jnl`	DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. CoRR Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2020	A*	`conf`	Deep Learning for Privacy in Multimedia. ACM Multimedia Andrea Cavallaro, Mohammad Malekzadeh, Ali Shahin Shamsabadi
2020	J	`jnl`	Layer-wise Characterization of Latent Information Leakage in Federated Learning. CoRR Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2020	J	`jnl`	Privacy and utility preserving sensor-data transformations. Pervasive Mob. Comput. Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2020	—	`conf`	Privacy-Preserving Bandits. MLSys Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits
2020	J	`jnl`	Running Neural Networks on the NIC. CoRR Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco
2019	—	`conf`	Mobile sensor data anonymization. IoTDI Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2019	J	`jnl`	Modeling and Forecasting Art Movements with CGANs. CoRR Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth R. Flaxman
2019	J	`jnl`	Privacy and Utility Preserving Sensor-Data Transformations. CoRR Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2019	J	`jnl`	Privacy-Preserving Bandits. CoRR Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Ben Livshits
2018	J	`jnl`	Mobile Sensor Data Anonymization. CoRR Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2018	—	`conf`	Protecting Sensory Data against Sensitive Inferences. P2DS@EuroSys Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2018	J	`jnl`	Protecting Sensory Data against Sensitive Inferences. CoRR Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
2018	—	`conf`	Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. IoTDI Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi
2017	J	`jnl`	Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. CoRR Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi
2014	B	`conf`	A multi-generational social learning model: The effect of information cascade on aggregate welfare. ASONAM Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel, Iren Mazloomzadeh