Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Pan, Zhixin"'
Data augmentation is widely used to mitigate data bias in the training dataset. However, data augmentation exposes machine learning models to privacy attacks, such as membership inference attacks. In this paper, we propose an effective combination of
Externí odkaz:
http://arxiv.org/abs/2404.13194
Autor:
Shu, Ziyu, Pan, Zhixin
Deep image prior (DIP) proposed in recent research has revealed the inherent trait of convolutional neural networks (CNN) for capturing substantial low-level image statistics priors. This framework efficiently addresses the inverse problems in image
Externí odkaz:
http://arxiv.org/abs/2404.12142
Autor:
Pan, Zhixin, Mishra, Prabhat
Machine learning (ML) is successful in achieving human-level artificial intelligence in various fields. However, it lacks the ability to explain an outcome due to its black-box nature. While recent efforts on explainable AI (XAI) has received signifi
Externí odkaz:
http://arxiv.org/abs/2305.04887
Autor:
Pan, Zhixin, Mishra, Prabhat
Due to cost and time-to-market constraints, many industries outsource the training process of machine learning models (ML) to third-party cloud service providers, popularly known as ML-asa-Service (MLaaS). MLaaS creates opportunity for an adversary t
Externí odkaz:
http://arxiv.org/abs/2205.09167
Autor:
Pan, Zhixin, Mishra, Prabhat
Deep neural networks (DNNs) play an important role in machine learning due to its outstanding performance compared to other alternatives. However, DNNs are not suitable for safety-critical applications since DNNs can be easily fooled by well-crafted
Externí odkaz:
http://arxiv.org/abs/2103.13815
Autor:
Pan, Zhixin, Mishra, Prabhat
Machine learning (ML) is successful in achieving human-level performance in various fields. However, it lacks the ability to explain an outcome due to its black-box nature. While existing explainable ML is promising, almost all of these methods focus
Externí odkaz:
http://arxiv.org/abs/2103.11927
Autor:
Wang, Pingyang, Cui, Qiuying, Wang, Xia, Liu, Yanwei, Zhang, Yuli, Huang, Xuhua, Jiang, Shidong, Jiang, Mangui, Bi, Lihui, Li, Biao, Wei, Wei, Pan, Zhixin
Publikováno v:
In Pesticide Biochemistry and Physiology January 2023 189
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Vemuri, Baba C., Sun, Jiaqi, Banerjee, Monami, Pan, Zhixin, Turner, Sara M., Fuller, David D., Forder, John R., Entezari, Alireza
Publikováno v:
In Medical Image Analysis October 2019 57:89-105