Hanieh Hashemi

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

Hanieh Hashemi, Yongqin Wang, Murali Annavaram · 2021 · 51 citations · Full text

Computing, Computer Engineering, Computer Science +15

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

Tingting Tang, Ramy E. Ali, Hanieh Hashemi et al. · 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 2022 · 27 citations · Full text

Computing, Cloud Computing, Computer Science +14

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition

Tiantian Feng, Hanieh Hashemi, Murali Annavaram et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022 · 17 citations

Computing, Computer Science, Feature Engineering +15

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks

Hanieh Hashemi, Yongqin Wang, Murali Annavaram · arXiv (Cornell University) · 2020 · 14 citations · Full text

Computing, Computer Science, High-performance Computing +15

Byzantine-Robust and Privacy-Preserving Framework for FedML

Hanieh Hashemi, Yongqin Wang, Chuan Guo et al. · arXiv (Cornell University) · 2021 · 13 citations · Full text

Computing, Computer Science, Computer Systems +15