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부산대학교 정보의생명공학대학 정보컴퓨터공학부

논문[23]

#23. Clustering Approach for Detecting Multiple Types of Adversarial Examples

2022.5 · Sensors

(DOI) https://doi.org/10.3390/s22103826

#22. CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection

2022.3 · IEEE Access

(DOI) https://doi.org/10.1109/access.2022.3162065

발표[10]

#10. Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks

2019 IEEE Conference on Communications and Network Security (CNS)

2019.6

#9. Vehicular Acceleration Advisory Algorithm Using V2V Communication in Highway Junction Point

2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)

2018.7