Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna, "SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning," 2026 IEEE International Symposium on High Performance Computer Architecture (HPCA).
Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram, "PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation," 2025 25th Privacy Enhancing Technologies Symposium (PETS).
Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram, "High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings," 2025 25th Privacy Enhancing Technologies Symposium (PETS).
Yongqin Wang, Rachit Rajat, Murali Annavaram, "MPC-Pipe: An Efficient Pipeline Scheme for Semi-honest MPC Machine Learning," 2024 ACM 29th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
Yongqin Wang*, Rachit Rajat*, Murali Annavaram, "LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables," 2023 IEEE/ACM 50th International Symposium on Computer Architecture (ISCA). [* Equal Contributions]
Rachit Rajat, Yongqin Wang and Murali Annavaram, "PageORAM: An Efficient DRAM Page Aware ORAM Strategy," 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).
Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee, "Characterization of MPC-based Private Inference for Transformer-based Models," 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).
Hanieh Hashemi, Yongqin Wang, and Murali Annavaram. 2021. DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. In MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian and Murali Annavaram, "Origami Inference: Private Inference Using Hardware Enclaves," 2021 IEEE 14th International Conference on Cloud Computing (CLOUD)
Hanieh Hashemi, Yongqin Wang, and Murali Annavaram. 2021. Byzantine-Robust and Privacy-Preserving Framework for FedML.