Adversarial example construction against autonomous vehicle

Adversarial example construction against autonomous vehicle

Autonomous Vehicles (AVs) have had existed and encountered certain level of success ever since mid-20th century, and even more so with its societal significance and rapid technological advancement in recent years. Currently, safety and stability of AVs is still a hot ongoing research topic. One sign...

书目详细资料
主要作者:	Goh, Ying Ting
其他作者:	Tan Rui
格式:	Final Year Project (FYP)
语言:	English
出版:	Nanyang Technological University 2023
主题:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在线阅读:	https://hdl.handle.net/10356/164399

相似书籍

Adversarial example construction against autonomous vehicles
由: Loh, Zhi Heng
出版: (2023)

Universal adversarial example construction against autonomous vehicle
由: Beh, Nicholas Chee Kwang
出版: (2021)

Defence on unrestricted adversarial examples
由: Chan, Jarod Yan Cheng
出版: (2021)

Self-constructing controller for autonomous vehicle
由: Muhammad Amirul Afiq
出版: (2020)

Adversarial example construction against autonomous vehicle (part 2)
由: Cheong, Benjamin Yii Leung
出版: (2023)

Adversarial example construction against autonomous vehicle (part 2)
由: Toh, Koo Fong
出版: (2021)

Towards optimal defences on adversarial examples for DNN-driven digital twinning
由: Lee, Michael Yew Chuan
出版: (2023)

Towards deep neural networks robust to adversarial examples
由: Matyasko, Alexander
出版: (2020)

Autonomous deep learning for unmanned aerial vehicle
由: Looi, Deane Yi Ren
出版: (2020)

Protecting neural networks from adversarial attacks
由: Kwek, Jia Ying
出版: (2020)

Adversarial patch detection
由: Yeong, Joash Ler Yuen
出版: (2022)

Evaluation of adversarial attacks against deep learning models
由: Chua, Jonathan Wen Rong
出版: (2023)

Adversarial robustness of deep reinforcement learning
由: Qu, Xinghua
出版: (2022)

Demystifying adversarial attacks on neural networks
由: Yip, Lionell En Zhi
出版: (2020)

Adversarial training using meta-learning for BERT
由: Low, Timothy Jing Haen
出版: (2022)

Music generation with generative adversarial network (GAN)
由: Tan, Yi Zhuang
出版: (2021)

Modeling perception errors in autonomous vehicles and their impact on behavior
由: Piazzoni, Andrea
出版: (2023)

Deep learning-based interaction-aware trajectory prediction for autonomous vehicles
由: Mo, Xiaoyu
出版: (2022)

Adversarial example construction against autonomous vehicles (part 2)
由: Malavade, Sanskar Deepak
出版: (2024)

Adversarial examples in neural networks
由: Lim, Ruihong
出版: (2024)

Lane perception in rainy conditions for autonomous vehicles
由: Mahendran, Prabhu Shankar
出版: (2024)

Investigating the causes of the vulnerability of CNNs to adversarial perturbations: learning objective, model components, and learned representations
由: Coppola, Davide
出版: (2023)

‘The six pac-men' : exploring the strength of advice provision and the impact of an adversarial advisor in reinforcement learning
由: Arun, Rakshitha
出版: (2021)

Adversarial attacks on RNN-based deep learning systems
由: Loi, Chii Lek
出版: (2020)

Improving security of autonomous cyber-physical systems against adversarial examples
由: Song, Qun
出版: (2022)

Generative adversarial network (GAN) for image synthesis
由: Hou, Boyu
出版: (2022)

Autonomous learning machine for online big data analytics
由: Atluri Sai Mona
出版: (2020)

Cooperative behaviour of autonomous robots
由: Pasquier, Michel B.
出版: (2008)

Methods for autonomously decomposing and performing long-horizon sequential decision tasks
由: Pateria, Shubham
出版: (2022)

FGSM attacks on traffic light recognition of the apollo autonomous driving system
由: Samuel, Milla
出版: (2021)

Exploring the vulnerabilities and enhancing the adversarial robustness of deep neural networks
由: Bai, Tao
出版: (2022)

Universal adversarial attacks on graph neural networks
由: Liao, Chang
出版: (2021)

An agent based approach towards autonomic services
由: Leong, Khai Weng
出版: (2009)

Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks
由: Kang, Qiyu, et al.
出版: (2023)

Vehicle speed prediction with LSTM from trajectories
由: Srikanth, Samhita Kadayam
出版: (2022)

Study on attacks against federated learning
由: Guo, Feiyan
出版: (2022)

Study on attacks against federated learning
由: Tan, Ezekiel Wei Ren
出版: (2022)

Application of machine learning techniques in vehicle collision detection
由: Low, Xian Hao
出版: (2022)

Goal adoption, preference generation and commonsense reasoning in autonomous intelligent agents
由: Rafique, Umair
出版: (2013)

Detecting adversarial samples for deep neural networks through mutation testing
由: Tan, Kye Yen
出版: (2020)