Deniz Gurevin

20 papers A* 2A 1B 1C 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Graph Input-Aware Matrix Multiplication for Pruned Graph Neural Network Acceleration.
IPDPS
Hanan Khan, Deniz Gurevin, Omer Khan
2025 J jnl
Secure Remote Attestation With Strong Key Insulation Guarantees.
IEEE Trans. Computers
Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk
2024 J jnl
Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency.
IEEE Comput. Archit. Lett.
Deniz Gurevin, Caiwen Ding, Omer Khan
2024 — conf
Masked Memory Primitive for Key Insulated Schemes.
HOST
Zachary DiMeglio, Jenna Bustami, Deniz Gurevin, Chenglu Jin, Marten van Dijk, Omer Khan
2024 A* conf
PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration.
HPCA
Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan
2023 B conf
MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration.
ISPASS
Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan
2023 J jnl
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning.
CoRR
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
2023 J jnl
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.
ACM Trans. Design Autom. Electr. Syst.
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
2022 J jnl
Secure Remote Attestation with Strong Key Insulation Guarantees.
CoRR
Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk
2022 C conf
Towards Real-Time Temporal Graph Learning.
ICCD
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022 J jnl
Towards Real-Time Temporal Graph Learning.
CoRR
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022 C conf
Towards Sparsification of Graph Neural Networks.
ICCD
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022 J jnl
Towards Sparsification of Graph Neural Networks.
CoRR
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2021 — conf
An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks.
HPEC
Deniz Gurevin, Chris J. Michael, Omer Khan
2021 J jnl
Autonomous Secure Remote Attestation even when all Used and to be Used Digital Keys Leak.
IACR Cryptol. ePrint Arch.
Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen
2021 J jnl
Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples.
Entropy
Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuoung Ha Nguyen
2021 J jnl
Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure.
IACR Cryptol. ePrint Arch.
Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen
2021 A* conf
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.
IJCAI
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
2020 J jnl
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.
CoRR
Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
2020 J jnl
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples.
CoRR
Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen