@article{d7c33961d8e041d4b0d034010fb1dc34,
title = "Towards Backdoor Attacks and Defense in Robust Machine Learning Models",
keywords = "Backdoors, Machine learning, Neural networks, Robust optimization",
author = "Ezekiel Soremekun and Sakshi Udeshi and Sudipta Chattopadhyay",
note = "Funding Information: This work was partially funded by OneConnect Financial grant number RGOCFT2001, Singapore Ministry of Education (MOE) President{\textquoteright}s Graduate Fellowship and the University of Luxembourg{\textquoteright}s Institute for Advanced Studies (IAS). Ezekiel Soremekun was funded by the IAS Audacity project titled “LAIWYERS: Law and AI: WaYs to Explore Robust Solutions”. Funding Information: This work was partially funded by OneConnect Financial grant number RGOCFT2001, Singapore Ministry of Education (MOE) President's Graduate Fellowship and the University of Luxembourg's Institute for Advanced Studies (IAS). Ezekiel Soremekun was funded by the IAS Audacity project titled “LAIWYERS: Law and AI: WaYs to Explore Robust Solutions”. Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",
year = "2023",
month = apr,
doi = "10.1016/j.cose.2023.103101",
language = "English",
volume = "127",
journal = "Computers and Security",
issn = "0167-4048",
publisher = "Elsevier Limited",
}