Attack on training effort of deep learning
The objective of this project is to develop an attack to hinder the tracking results of state-of-the- art Visual Object Trackers. After code development and testing, an evaluation will be done to assess the performance of the attack and to draw conclusions. Visual Object Tracking is a relatively...
Saved in:
Main Author: | How, Kevin Kai-Wen |
---|---|
Other Authors: | Liu Yang |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/147934 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Attack on training effort of deep learning
by: Ho, Tony Man Tung
Published: (2022) -
Attack on training effort of deep learning
by: Chan, Wen Le
Published: (2021) -
Evaluation of adversarial attacks against deep learning models
by: Chua, Jonathan Wen Rong
Published: (2023) -
Adversarial attacks on RNN-based deep learning systems
by: Loi, Chii Lek
Published: (2020) -
Manipulating adaptive processes by constructive training-time attacks
by: Bector, Ridhima
Published: (2024)