| Towards sparsification of graph neural networks H Peng, D Gurevin, S Huang, T Geng, W Jiang, O Khan, C Ding 2022 IEEE 40th International Conference on Computer Design (ICCD), 272-279, 2022 | 31 | 2022 |
| Enabling retrain-free deep neural network pruning using surrogate lagrangian relaxation D Gurevin, MA Bragin, C Ding, S Zhou, L Pepin, B Li, F Miao International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 23 | 2021 |
| Beware the black-box: On the robustness of recent defenses to adversarial examples K Mahmood, D Gurevin, M van Dijk, PH Nguyen Entropy 23 (10), 1359, 2021 | 21 | 2021 |
| Mergepath-spmm: Parallel sparse matrix-matrix algorithm for graph neural network acceleration M Shan, D Gurevin, J Nye, C Ding, O Khan 2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023 | 9 | 2023 |
| Autonomous secure remote attestation even when all used and to be used digital keys leak M van Dijk, D Gurevin, C Jin, O Khan, PH Nguyen Cryptology ePrint Archive, 2021 | 7 | 2021 |
| PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration D Gurevin, M Shan, S Huang, MDA Hasan, C Ding, O Khan IEEE International Symposium on High-Performance Computer Architecture (HPCA …, 2024 | 5 | 2024 |
| Secure remote attestation with strong key insulation guarantees D Gurevin, C Jin, PH Nguyen, O Khan, M van Dijk IEEE Transactions on Computers (TC), 2023 | 5 | 2023 |
| An efficient algorithm for the construction of dynamically updating trajectory networks D Gurevin, CJ Michael, O Khan 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2021 | 4 | 2021 |
| A surrogate lagrangian relaxation-based model compression for deep neural networks D Gurevin, S Zhou, L Pepin, B Li, M Bragin, C Ding, F Miao arXiv preprint arXiv:2012.10079 2, 2020 | 3 | 2020 |
| Towards Real-Time Temporal Graph Learning D Gurevin, M Shan, T Geng, W Jiang, C Ding, O Khan 2022 IEEE 40th International Conference on Computer Design (ICCD), 263-271, 2022 | 2 | 2022 |
| Surrogate Lagrangian relaxation: A path to retrain-free deep neural network pruning S Zhou, MA Bragin, D Gurevin, L Pepin, F Miao, C Ding ACM Transactions on Design Automation of Electronic Systems 28 (6), 1-19, 2023 | 1 | 2023 |
| Masked Memory Primitive for Key Insulated Schemes Z DiMeglio, J Bustami, D Gurevin, C Jin, M van Dijk, O Khan IEEE International Symposium on Hardware Oriented Security and Trust (HOST …, 2024 | | 2024 |
| Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency D Gurevin, C Ding, O Khan IEEE Computer Architecture Letters (CAL), 2023 | | 2023 |
| Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure M van Dijk, D Gurevin, C Jin, O Khan, PH Nguyen Cryptology ePrint Archive, 2021 | | 2021 |
