MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration. - Weizhe Hua; Muhammad Umar 002; Zhiru Zhang; G. Edward Suh (CoRR, 2020)

GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning. - Weizhe Hua; Muhammad Umar 002; Zhiru Zhang; G. Edward Suh (CoRR, 2020)

GuardNN: secure accelerator architecture for privacy-preserving deep learning. - Weizhe Hua; Muhammad Umar 002; Zhiru Zhang; G. Edward Suh (DAC, 2022)

MGX: near-zero overhead memory protection for data-intensive accelerators. - Weizhe Hua; Muhammad Umar 002; Zhiru Zhang; G. Edward Suh (ISCA, 2022)

SoftVN: efficient memory protection via software-provided version numbers. - Muhammad Umar 002; Weizhe Hua; Zhiru Zhang; G. Edward Suh (ISCA, 2022)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. - Jordan Dotzel; Gang Wu; Andrew Li; Muhammad Umar 002; Yun Ni; Mohamed S. Abdelfattah; Zhiru Zhang; Liqun Cheng; Martin G. Dixon; Norman P. Jouppi; Quoc V. Le; Sheng Li 007 (AutoML, 2024)

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference. - Michael Shen; Muhammad Umar 002; Kiwan Maeng; G. Edward Suh; Udit Gupta (CoRR, 2024)

Efficient Memory Side-Channel Protection for Embedding Generation in Machine Learning. - Muhammad Umar 002; Akhilesh Parag Marathe; Monami Dutta Gupta; Shubham Jogprakash Ghosh; G. Edward Suh; Wenjie Xiong 001 (HPCA, 2025)

Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. - Michael Shen; Muhammad Umar 002; Kiwan Maeng; G. Edward Suh; Udit Gupta (ISCA, 2025)