Hanieh Hashemi

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

Collaborative distances:

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

2024

Differentially Private Heavy Hitter Detection using Federated Analytics.

Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar

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.

Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee

CoRR, 2022

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

Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition.

Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan

CoRR, 2021

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

Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram

CoRR, 2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.

Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

CoRR, 2021

Privacy and Integrity Preserving Training Using Trusted Hardware.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

CoRR, 2021

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

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.

Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram

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.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

CoRR, 2020

2019

PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs.

Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram

CoRR, 2019