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Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.

, , , , and . DSA, page 162-167. IEEE, (2020)

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Software Test Data Generation Based on Multi-agent., , and . FGIT-ASEA, volume 59 of Communications in Computer and Information Science, page 188-195. Springer, (2009)Software Network Models Based on Dynamic Execution for Fault Propagation Research., , and . QRS Companion, page 56-61. IEEE, (2015)Empirical Study on the Correlation Between Software Structural Modifications and Its Fault-Proneness., , and . QRS Companion, page 634-635. IEEE, (2017)A Cluster-Based Hybrid Feature Selection Method for Defect Prediction., , and . QRS, page 1-9. IEEE, (2019)Defect Prediction Based on the Characteristics of Multilayer Structure of Software Network., , and . QRS Companion, page 27-34. IEEE, (2018)Shortening the Cycle of Software Reliability Testing with Fuzzy Discrimination., , and . SERE, page 21-29. IEEE, (2013)Rating Prediction in Recommender Systems Based on User Behavior Probability and Complex Network Modeling., , , and . IEEE Access, (2021)A Clone Code Detection Method Based on Software Complex Network., , and . ISSRE Workshops, page 120-121. IEEE, (2019)An Empirical Study of Fault Triggers in Deep Learning Frameworks., , , and . IEEE Trans. Dependable Secur. Comput., 20 (4): 2696-2712 (July 2023)Software Reliability Evaluation Method Based on a Software Network., , and . ISSRE Workshops, page 136-137. IEEE Computer Society, (2018)