Defense on unrestricted adversarial examples
Deep Neural Networks (DNN) and Deep Learning (DL) has led to advancements in various fields, including learning algorithms such as Reinforcement Learning (RL). These advancements have led to new algorithms like Deep Reinforcement Learning (DRL), which can achieve great performance in fields such...
Saved in:
主要作者: | Sim, Chee Xian |
---|---|
其他作者: | Jun Zhao |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/165839 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Defence on unrestricted adversarial examples
由: Chan, Jarod Yan Cheng
出版: (2021) -
Harnessing input gradients for generating unrestricted adversarial examples in remote sensing
由: Fan, Wei
出版: (2025) -
Moving target defense for embedded deep visual sensing against adversarial examples
由: Song, Qun, et al.
出版: (2020) -
Adversarial examples in neural networks
由: Lim, Ruihong
出版: (2024) -
Attack as defense: Characterizing adversarial examples using robustness
由: ZHAO, Zhe, et al.
出版: (2021)