Evaluate the effects of model post-processing on adversarial examples
In recent years, deep learning models, particularly Convolutional Neural Networks (CNN), have achieved remarkable success in a variety of applications such as image recognition, object detection, and autonomous systems. Despite CNNs’ ability to solve a plethora of problems in the field of Computer V...
Saved in:
Main Author: | Low, Gerald |
---|---|
Other Authors: | Chang Chip Hong |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167310 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Statistical diagnosis system for adversarial examples
by: Wu, Yuting
Published: (2020) -
Targeted universal adversarial examples for remote sensing
by: Bai, Tao, et al.
Published: (2023) -
Defense on unrestricted adversarial examples
by: Sim, Chee Xian
Published: (2023) -
Defence on unrestricted adversarial examples
by: Chan, Jarod Yan Cheng
Published: (2021) -
Adversarial examples in neural networks
by: Lim, Ruihong
Published: (2024)