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pro vyhledávání: '"Zhang, Yushu"'
As artificial intelligence technology becomes increasingly prevalent, Artificial Intelligence Generated Content (AIGC) is being adopted across various sectors. Although AIGC is playing an increasingly significant role in business and culture, questio
Externí odkaz:
http://arxiv.org/abs/2406.14966
Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-required invariant structures, e.g., geometric invariance, in the fundamen
Externí odkaz:
http://arxiv.org/abs/2402.15430
The intellectual property protection of deep learning (DL) models has attracted increasing serious concerns. Many works on intellectual property protection for Deep Neural Networks (DNN) models have been proposed. The vast majority of existing work u
Externí odkaz:
http://arxiv.org/abs/2310.09822
The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in the evolution of information technology. With AIGC, it can be effortless to generate high-quality data that is challenging for the public to distinguish. Ne
Externí odkaz:
http://arxiv.org/abs/2309.09435
Massive captured face images are stored in the database for the identification of individuals. However, these images can be observed unintentionally by data managers, which is not at the will of individuals and may cause privacy violations. Existing
Externí odkaz:
http://arxiv.org/abs/2307.00481
Autor:
Wang, Chao, Qi, Shuren, Huang, Zhiqiu, Zhang, Yushu, Lan, Rushi, Cao, Xiaochun, Fan, Feng-Lei
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology, 2024
The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical risk for modern vision systems, e.g., the popular Deep Learning as a S
Externí odkaz:
http://arxiv.org/abs/2305.10856
Vision is the most important sense for people, and it is also one of the main ways of cognition. As a result, people tend to utilize visual content to capture and share their life experiences, which greatly facilitates the transfer of information. Me
Externí odkaz:
http://arxiv.org/abs/2303.16552
A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving the representation robustness by adding noisy samples in training phas
Externí odkaz:
http://arxiv.org/abs/2301.07409
Autor:
Zhang, Yushu1 (AUTHOR) 2020400191@buct.edu.cn, Tang, Fangcheng2 (AUTHOR) tangfc@mail.buct.edu.cn, Song, Zeyuan3 (AUTHOR) songzeyuan@cimtec.net.cn, Wang, Jun1 (AUTHOR) junwang_jg@mail.buct.edu.cn
Publikováno v:
Symmetry (20738994). Sep2024, Vol. 16 Issue 9, p1161. 14p.