Adversarial Attacks on Regression Systems via Gradient Optimization
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
2. Peng Cheng Laboratory, Shenzhen, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software
Link
http://xplorestaging.ieee.org/ielx7/6221021/10321818/10226611.pdf?arnumber=10226611
Reference47 articles.
1. A Data-Driven Cyber–Physical System Using Deep-Learning Convolutional Neural Networks: Study on False-Data Injection Attacks in an Unmanned Ground Vehicle Under Fault-Tolerant Conditions
2. ShapeShifter: Robust physical adversarial attack on faster R-CNN object detector;chen;Proc Eur Conf Mach Learn Knowl Discovery Databases,2018
3. Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks
4. White-Box Target Attack for EEG-Based BCI Regression Problems
5. Piecewise Attack Strategy Design for T–S Fuzzy Cyber–Physical Systems
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