Effects of incremental training on watermarked neural networks
Deep learning has achieved extraordinary results in many different areas, ranging from autonomous driving [1], medical devices [2] to speech recognition and natural language processing [3]. Generating a high-performance neural network is costly in aspects of time, computational resources, and exp...
Main Author: | Heng, Chuan Song |
---|---|
Other Authors: | Anupam Chattopadhyay |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167143 |
Similar Items
-
Investigating vulnerability of watermarking neural network
by: Chua, Viroy Sheng Yang
Published: (2020) -
Embedding watermarks into deep neural networks of audio classification
by: Chin, Jun Ying
Published: (2021) -
Deep learning watermarking using network trojan techniques
by: Tan, Xavier
Published: (2021) -
Training binary neural networks
by: Tham, Marcus Wei Jie
Published: (2022) -
Watermarking deep reinforcement learning
by: Sim, Ming Jie
Published: (2021)