Towards explainable neural network fairness
Neural networks are widely applied in solving many real-world problems. At the same time, they are shown to be vulnerable to attacks, difficult to debug, non-transparent and subject to fairness issues. Discrimination has been observed in various machine learning models, including Large Language Mode...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/etd_coll/547 https://ink.library.smu.edu.sg/context/etd_coll/article/1545/viewcontent/GPIS_AY2019_PhD_Mengdi_Zhang.pdf |
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| Institution: | Singapore Management University |
| Language: | English |