Cryptography techniques to defend neural networks from adversarial attacks
As the field of artificial intelligence proceeds to advance, the security and strength of neural network against adversarial attacks have resulted in critical area of concern. This academic research report aims to examine current defense mechanism and proposed plan of cryptographic strategies to sec...
Saved in:
Main Author: | Tan, Hong Meng |
---|---|
Other Authors: | Anupam Chattopadhyay |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175454 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Protecting neural networks from adversarial attacks
by: Lim, Xin Yi
Published: (2024) -
Application of multilayer perceptron networks in public key cryptography
by: Yee, L.P., et al.
Published: (2014) -
Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks
by: Kang, Qiyu, et al.
Published: (2023) -
Convolutional neural network designed as small truth tables, application to cryptography, formal verification & explainability
by: Benamira, Adrien
Published: (2024) -
Image hatching for visual cryptography
by: Weir, J., et al.
Published: (2013)