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A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks., , , , , , and . CoRR, (2020)Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples., , , and . Entropy, 23 (10): 1359 (2021)Autonomous Secure Remote Attestation even when all Used and to be Used Digital Keys Leak., , , , and . IACR Cryptol. ePrint Arch., (2021)Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation., , , , , , and . IJCAI, page 2497-2504. ijcai.org, (2021)Secure Remote Attestation with Strong Key Insulation Guarantees., , , , and . CoRR, (2022)PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration., , , , , and . HPCA, page 108-123. IEEE, (2024)Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning., , , , , and . CoRR, (2023)Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure., , , , and . IACR Cryptol. ePrint Arch., (2021)MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration., , , , and . ISPASS, page 145-156. IEEE, (2023)An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks., , and . HPEC, page 1-7. IEEE, (2021)