DeepXplore-Reference-Cited by-同舟云学术

DeepXplore

Published:2019-01-17 Issue:3 Volume:22 Page:36-38
ISSN:2375-0529
Container-title:GetMobile: Mobile Computing and Communications
language:en
Short-container-title:GetMobile: Mobile Comp. and Comm.

Author:

Pei Kexin¹,Cao Yinzhi²,Yang Junfeng¹,Jana Suman¹

Affiliation:

1. Columbia University, New York, NY, USA

2. The Johns Hopkins University, Baltimore, MD, USA

Abstract

Over the past few years, Deep Learning (DL) has made tremendous progress, achieving or surpassing human-level performance for a diverse set of tasks, including image classification, speech recognition, and playing games like Go. These advances have led to widespread adoption and deployment of DL in security- and safety-critical systems, such as selfdriving cars, malware detection, and aircraft collision avoidance systems.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3308755.3308767

Reference9 articles.

1. Google-accident 2016. "A Google self-driving car caused a crash for the first time." http://www. theverge.com/2016/2/29/11134344/google-selfdriving- car-crash-report. (2016). Google-accident 2016. "A Google self-driving car caused a crash for the first time." http://www. theverge.com/2016/2/29/11134344/google-selfdriving- car-crash-report. (2016).

2. Tesla-accident 2016. "Understanding the fatal Tesla accident on Autopilot and the NHTSA probe." https://electrek.co/2016/07/01/understanding-fataltesla- accident-autopilot-nhtsa-probe/. (2016). Tesla-accident 2016. "Understanding the fatal Tesla accident on Autopilot and the NHTSA probe." https://electrek.co/2016/07/01/understanding-fataltesla- accident-autopilot-nhtsa-probe/. (2016).

3. 2016. Report on autonomous mode disengagements for waymo self-driving vehicles in california. https:// www.dmv.ca.gov/portal/wcm/connect/42aff875- 7ab1--4115-a72a-97f6f24b23cc/Waymofull. pdf?MOD=AJPERES&CVID= 2016. Report on autonomous mode disengagements for waymo self-driving vehicles in california. https:// www.dmv.ca.gov/portal/wcm/connect/42aff875- 7ab1--4115-a72a-97f6f24b23cc/Waymofull. pdf?MOD=AJPERES&CVID=

4. 2017. "Inside Waymo's secret world for training self-driving cars." https://www.theatlantic.com/ technology/archive/2017/08/inside-waymos-secrettesting- and-simulation-facilities/537648/. (2017). 2017. "Inside Waymo's secret world for training self-driving cars." https://www.theatlantic.com/ technology/archive/2017/08/inside-waymos-secrettesting- and-simulation-facilities/537648/. (2017).

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Critical Test Cases Generalization for Autonomous Driving Object Detection Algorithms;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. A lightweight adaptive random testing method for deep learning systems;Software: Practice and Experience;2023-08-30

3. Toward the Trustworthiness of Industrial Robotics Using Differential Fuzz Testing;IEEE Transactions on Industrial Informatics;2023-03

4. A Distance-Based Dynamic Random Testing Strategy for Natural Language Processing DNN Models;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12

5. Phishing Detection Based on Multi-Feature Neural Network;2022 IEEE International Performance, Computing, and Communications Conference (IPCCC);2022-11-11