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)

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)

An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks. - Deniz Gurevin; Chris J. Michael 001; Omer Khan (HPEC, 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 (IJCAI, 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)

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)

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)

Towards Real-Time Temporal Graph Learning. - Deniz Gurevin; Mohsin Shan; Tong Geng; Weiwen Jiang; Caiwen Ding; Omer Khan (ICCD, 2022)

Towards Sparsification of Graph Neural Networks. - Hongwu Peng; Deniz Gurevin; Shaoyi Huang; Tong Geng; Weiwen Jiang; Omer Khan; Caiwen Ding (ICCD, 2022)

MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration. - Mohsin Shan; Deniz Gurevin; Jared Nye; Caiwen Ding; Omer Khan (ISPASS, 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., 2023)

Masked Memory Primitive for Key Insulated Schemes. - Zachary DiMeglio; Jenna Bustami; Deniz Gurevin; Chenglu Jin; Marten van Dijk; Omer Khan (HOST, 2024)

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration. - Deniz Gurevin; Mohsin Shan; Shaoyi Huang; Md Amit Hasan 001; Caiwen Ding; Omer Khan (HPCA, 2024)

Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency. - Deniz Gurevin; Caiwen Ding; Omer Khan (IEEE Comput. Archit. Lett., 2024)

Graph Input-Aware Matrix Multiplication for Pruned Graph Neural Network Acceleration. - Hanan Khan; Deniz Gurevin; Omer Khan (IPDPS, 2025)

Secure Remote Attestation With Strong Key Insulation Guarantees. - Deniz Gurevin; Chenglu Jin; Phuong Ha Nguyen; Omer Khan; Marten van Dijk (IEEE Trans. Computers, 2025)