Protecting neural networks from adversarial attacks
This project investigates how Searchable Symmetric Encryption (SSE) can be applied to neural networks as a form of protection from adversarial attacks and the viability of such an implementation. The implementation of SSE used is done in Python with the usage of single-keyword static SSE schemes,...
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175267 |