Deniz Gurevin

According to our database, Deniz Gurevin authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration.

Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Masked Memory Primitive for Key Insulated Schemes.

Zachary DiMeglio, Jenna Bustami, Deniz Gurevin, Chenglu Jin, Marten van Dijk, Omer Khan

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

2023

Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.

Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding

ACM Trans. Design Autom. Electr. Syst., November, 2023

MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration.

Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2022

Secure Remote Attestation with Strong Key Insulation Guarantees.

Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk

CoRR, 2022

Towards Sparsification of Graph Neural Networks.

Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Towards Real-Time Temporal Graph Learning.

Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure.

Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen

IACR Cryptol. ePrint Arch., 2021

Autonomous Secure Remote Attestation even when all Used and to be Used Digital Keys Leak.

Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen

IACR Cryptol. ePrint Arch., 2021

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples.

Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuoung Ha Nguyen

Entropy, 2021

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.

Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks.

Deniz Gurevin, Chris J. Michael, Omer Khan

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.

Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao

CoRR, 2020

Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples.

Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen

CoRR, 2020