Hanieh Hashemi

According to our database1, Hanieh Hashemi authored at least 12 papers between 2019 and 2024.

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Bibliography

2024
Differentially Private Heavy Hitter Detection using Federated Analytics.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems.
CoRR, 2022

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings.
CoRR, 2021

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.
CoRR, 2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.
CoRR, 2021

Privacy and Integrity Preserving Training Using Trusted Hardware.
CoRR, 2021

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks.
CoRR, 2020

2019
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs.
CoRR, 2019


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