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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 10 doi: 10.1631/FITEE.2300059
Towards robust neural networks via a global and monotonically decreasing robustness training strategy
Affiliation(s): Institute for Quantum Information & State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha 410073, China; State Key Laboratory of Computer Science Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100190, China; College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China; Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Changsha 410073, China; less
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Keywords
Robust neural networks ; Training method ; Drawdown risk ; Global robustness training ; Monotonically decreasing robustness
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