Robust learning with probabilistic relaxation using hypothesis-test-based sampling
In recent years, deep learning has been a vital tool in various tasks. The performance of a neural network is usually evaluated by empirical risk minimization. However, robustness issues have gained great concern which can be fatal in safety-critical applications. Adversarial training can mitigate t...
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| المؤلف الرئيسي: | |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/etd_coll/668 https://ink.library.smu.edu.sg/context/etd_coll/article/1666/viewcontent/GPIS_AY2022_MbR_Wang_Zilin.pdf |
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