PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (CoRR, 2019)

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (CoRR, 2020)

MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (IPDPS, 2021)

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (MICRO, 2021)

Privacy and Integrity Preserving Training Using Trusted Hardware. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (CoRR, 2021)

Byzantine-Robust and Privacy-Preserving Framework for FedML. - Hanieh Hashemi; Yongqin Wang; Chuan Guo 001; Murali Annavaram (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)

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. - Tiantian Feng; Hanieh Hashemi; Rajat Hebbar; Murali Annavaram; Shrikanth S. Narayanan (CoRR, 2021)

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. - Tiantian Feng; Hanieh Hashemi; Murali Annavaram; Shrikanth S. Narayanan (ICASSP, 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 (IPDPS, 2022)

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. - Hanieh Hashemi; Wenjie Xiong 001; Liu Ke 001; Kiwan Maeng; Murali Annavaram; G. Edward Suh; Hsien-Hsin S. Lee (CoRR, 2022)

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 (SaTML, 2024)