View Proposal

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Proposer

Wei Pang

Title

Immune-inspired Algorithm for robust and secure machine learning

Goal

making machine learning safer or developing attack methods to challenge existing machine learning algorithms and raise the safety awareness

Description

Have you heard of the one-pixel attack? https://arxiv.org/abs/1710.08864 It can fool advanced deep learning algorithms by only changing only one pixel of an image. Recently Sparse attack is becoming more and more popular: https://openaccess.thecvf.com/content/CVPR2023/papers/Williams_Black-Box_Sparse_Adversarial_Attack_via_Multi-Objective_Optimisation_CVPR_2023_paper.pdf In this project, we will use immune-inspired algorithms to develop attacking methods in order to fool existing deep learning algorithms, which can raise awareness of security and safety for machine learning. We wil aslo develop protection methods to protect machine learning algorithms from potential attacks, and this will also be inspired by immune systems or evolutionary algorithms.

Resources

Background

Url

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

2

Supervisor

Wei Pang

Keywords

machine learning, deep learning, artificial immune systems, robust ml, safe ml

Degrees

Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Robotics
Bachelor of Science in Computing Science