@inproceedings{855ac01af57b4419b5780dadf4eba847,
title = "INVITED: Building robust machine learning systems: Current progress, research challenges, and opportunities",
abstract = "Machine learning, in particular deep learning, is being used in almost all the aspects of life to facilitate humans, specifically in mobile and Internet of Things (IoT)-based applications. Due to its state-of-the-art performance, deep learning is also being employed in safety-critical applications, for instance, autonomous vehicles. Reliability and security are two of the key required characteristics for these applications because of the impact they can have on human's life. Towards this, in this paper, we highlight the current progress, challenges and research opportunities in the domain of robust systems for machine learning-based applications.",
keywords = "Adversarial Attacks, Deep Learning, Machine Learning, Permanent Faults, Reliability, Robustness, Security, Timing Errors",
author = "Zhang, {Jeff Jun} and Kang Liu and Faiq Khalid and Hanif, {Muhammad Abdullah} and Semeen Rehman and Theocharis Theocharides and Alessandro Artussi and Muhammad Shafique and Siddharth Garg",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 56th Annual Design Automation Conference, DAC 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
month = jun,
day = "2",
doi = "10.1145/3316781.3323472",
language = "English (US)",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019",
}