all AI news
Few-Shot Backdoor Attacks on Visual Object Tracking. (arXiv:2201.13178v2 [cs.CV] UPDATED)
May 5, 2022, 1:12 a.m. | Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
cs.LG updates on arXiv.org arxiv.org
Visual object tracking (VOT) has been widely adopted in mission-critical
applications, such as autonomous driving and intelligent surveillance systems.
In current practice, third-party resources such as datasets, backbone networks,
and training platforms are frequently used to train high-performance VOT
models. Whilst these resources bring certain convenience, they also introduce
new security threats into VOT models. In this paper, we reveal such a threat
where an adversary can easily implant hidden backdoors into VOT models by
tempering with the training process. …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Social Insights & Data Analyst (Freelance)
@ Media.Monks | Jakarta
Cloud Data Engineer
@ Arkatechture | Portland, ME, USA