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Mohammad Malekzadeh
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2020 – today
- 2024
- [c11]Mohammad Malekzadeh
, Fahim Kawsar
:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. HotMobile 2024: 14-20 - [c10]Soumyajit Chatterjee
, Fahim Kawsar
, Mohammad Malekzadeh
:
Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. HotMobile 2024: 139 - [c9]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: 152-160 - 2023
- [e1]Deniz Gündüz, Mohammad Malekzadeh, Melek Önen, Yalin E. Sagduyu, Yi Shi, Junqing Zhang:
Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning, WiseML2023, Guildford, United Kingdom, 1 June 2023. ACM 2023 [contents] - [i17]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR abs/2307.16847 (2023) - [i16]Mohammad Malekzadeh, Fahim Kawsar:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. CoRR abs/2310.13384 (2023) - 2022
- [c8]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: 513-533 - [i15]Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur:
Centaur: Federated Learning for Constrained Edge Devices. CoRR abs/2211.04175 (2022) - [i14]Mohammad Malekzadeh, Deniz Gündüz:
Vicious Classifiers: Data Reconstruction Attack at Inference Time. CoRR abs/2212.04223 (2022) - 2021
- [j2]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): 120:1-120:27 (2021) - [c7]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: 825-844 - [i13]Mohammad Malekzadeh, Burak Hasircioglu
, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz:
Dopamine: Differentially Private Federated Learning on Medical Data. CoRR abs/2101.11693 (2021) - [i12]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 abs/2105.12049 (2021) - [i11]Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou:
Quantifying Information Leakage from Gradients. CoRR abs/2105.13929 (2021) - [i10]Aman Priyanshu
, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh:
Efficient Hyperparameter Optimization for Differentially Private Deep Learning. CoRR abs/2108.03888 (2021) - 2020
- [j1]Mohammad Malekzadeh, Richard G. Clegg
, Andrea Cavallaro, Hamed Haddadi:
Privacy and utility preserving sensor-data transformations. Pervasive Mob. Comput. 63: 101132 (2020) - [c6]Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits:
Privacy-Preserving Bandits. MLSys 2020 - [c5]Andrea Cavallaro, Mohammad Malekzadeh, Ali Shahin Shamsabadi:
Deep Learning for Privacy in Multimedia. ACM Multimedia 2020: 4777-4778 - [i9]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. CoRR abs/2008.02397 (2020) - [i8]Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco:
Running Neural Networks on the NIC. CoRR abs/2009.02353 (2020) - [i7]Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou:
Layer-wise Characterization of Latent Information Leakage in Federated Learning. CoRR abs/2010.08762 (2020)
2010 – 2019
- 2019
- [c4]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Mobile sensor data anonymization. IoTDI 2019: 49-58 - [i6]Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth R. Flaxman:
Modeling and Forecasting Art Movements with CGANs. CoRR abs/1906.09230 (2019) - [i5]Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Ben Livshits:
Privacy-Preserving Bandits. CoRR abs/1909.04421 (2019) - [i4]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Privacy and Utility Preserving Sensor-Data Transformations. CoRR abs/1911.05996 (2019) - 2018
- [c3]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Protecting Sensory Data against Sensitive Inferences. P2DS@EuroSys 2018: 2:1-2:6 - [c2]Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi:
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. IoTDI 2018: 165-176 - [i3]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Protecting Sensory Data against Sensitive Inferences. CoRR abs/1802.07802 (2018) - [i2]Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Mobile Sensor Data Anonymization. CoRR abs/1810.11546 (2018) - 2017
- [i1]Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi:
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis. CoRR abs/1710.06564 (2017) - 2014
- [c1]Marziyeh Barghandan, Mohammad Malekzadeh, Atefeh Safdel, Iren Mazloomzadeh:
A multi-generational social learning model: The effect of information cascade on aggregate welfare. ASONAM 2014: 529-533
Coauthor Index
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last updated on 2024-08-21 21:29 CEST by the dblp team
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