Boosting adversarial training in safety-critical systems through boundary data selection
AI-enabled collaborative robots are designed to be used in close collaboration with humans, thus requiring stringent safety standards and quick response times. Adversarial attacks pose a significant threat to the deep learning models of these systems, making it crucial to develop methods to improve...
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Main Authors: | JIA, Yifan, POSKITT, Christopher M., ZHANG, Peixin, WANG, Jingyi, SUN, Jun, CHATTOPADHYAY, Sudipta |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8303 https://ink.library.smu.edu.sg/context/sis_research/article/9306/viewcontent/rast_ral24.pdf |
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Institution: | Singapore Management University |
Language: | English |
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