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ORCIDDeniz Gurevin
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2020 – today
- 2024
[j3]Deniz Gurevin
, Caiwen Ding, Omer Khan:
Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency. IEEE Comput. Archit. Lett. 23(2): 170-174 (2024)- [c7]Zachary DiMeglio, Jenna Bustami, Deniz Gurevin, Chenglu Jin, Marten van Dijk, Omer Khan:
Masked Memory Primitive for Key Insulated Schemes. HOST 2024: 293-303 - [c6]Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan:
PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration. HPCA 2024: 108-123 - 2023
- [j2]Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding:
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28(6): 102:1-102:19 (2023) - [c5]Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan:
MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration. ISPASS 2023: 145-156 - [i8]Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding:
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR abs/2304.04120 (2023) - 2022
- [c4]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. ICCD 2022: 263-271 - [c3]Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. ICCD 2022: 272-279 - [i7]Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen, Omer Khan, Marten van Dijk:
Secure Remote Attestation with Strong Key Insulation Guarantees. CoRR abs/2201.01834 (2022) - [i6]Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding:
Towards Sparsification of Graph Neural Networks. CoRR abs/2209.04766 (2022) - [i5]Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan:
Towards Real-Time Temporal Graph Learning. CoRR abs/2210.04114 (2022) - 2021
- [j1]Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuoung Ha Nguyen:
Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples. Entropy 23(10): 1359 (2021) - [c2]Deniz Gurevin, Chris J. Michael, Omer Khan:
An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks. HPEC 2021: 1-7 - [c1]Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao:
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI 2021: 2497-2504 - [i4]Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen:
Autonomous Secure Remote Attestation even when all Used and to be Used Digital Keys Leak. IACR Cryptol. ePrint Arch. 2021: 602 (2021) - [i3]Marten van Dijk, Deniz Gurevin, Chenglu Jin, Omer Khan, Phuong Ha Nguyen:
Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure. IACR Cryptol. ePrint Arch. 2021: 925 (2021) - 2020
- [i2]Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen:
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples. CoRR abs/2006.10876 (2020) - [i1]Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao:
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR abs/2012.10079 (2020)
Coauthor Index
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