Fine-Grained Vulnerability Analysis of Resource Constrained Neural Inference Accelerators

Author:

Corneliou Panayiotis,Nikolaou Panagiota,Michael Maria K.,Theocharides Theocharis

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Power, Performance and Reliability Evaluation of Multi-thread Machine Learning Inference Models Executing in Multicore Edge Devices;2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2023-06-20

2. Testability and Dependability of AI Hardware: Survey, Trends, Challenges, and Perspectives;IEEE Design & Test;2023-04

3. Related Works;Synthesis Lectures on Engineering, Science, and Technology;2023

4. Functional and Timing Implications of Transient Faults in Critical Systems;2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS);2022-09-12

5. The Impact of Soft Errors in Memory Units of Edge Devices Executing Convolutional Neural Networks;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-03

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