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pro vyhledávání: '"LUO, Bo"'
Vision Transformers have made remarkable progress in recent years, achieving state-of-the-art performance in most vision tasks. A key component of this success is due to the introduction of the Multi-Head Self-Attention (MHSA) module, which enables e
Externí odkaz:
http://arxiv.org/abs/2410.14874
The Vision Transformer (ViT) leverages the Transformer's encoder to capture global information by dividing images into patches and achieves superior performance across various computer vision tasks. However, the self-attention mechanism of ViT captur
Externí odkaz:
http://arxiv.org/abs/2407.19394
Generative AI models can produce high-quality images based on text prompts. The generated images often appear indistinguishable from images generated by conventional optical photography devices or created by human artists (i.e., real images). While t
Externí odkaz:
http://arxiv.org/abs/2404.14581
Publikováno v:
NDSS 2023
Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studies a new and practical security r
Externí odkaz:
http://arxiv.org/abs/2403.15052
Dynamic Searchable Encryption (DSE) has emerged as a solution to efficiently handle and protect large-scale data storage in encrypted databases (EDBs). Volume leakage poses a significant threat, as it enables adversaries to reconstruct search queries
Externí odkaz:
http://arxiv.org/abs/2403.01182
Publikováno v:
IOS Press Ebooks pp 1256-1263. Volume 372: ECAI'23 (2023)
This research addresses the challenge of conducting interpretable causal inference between a binary treatment and its resulting outcome when not all confounders are known. Confounders are factors that have an influence on both the treatment and the o
Externí odkaz:
http://arxiv.org/abs/2310.14064
Autor:
Zhang, Tianxiao, Li, Kaidong, Chen, Xiangyu, Zhong, Cuncong, Luo, Bo, Grijalva, Ivan, McCornack, Brian, Flippo, Daniel, Sharda, Ajay, Wang, Guanghui
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable
Externí odkaz:
http://arxiv.org/abs/2308.05881
Autor:
Zhang, Tianxiao, Li, Kaidong, Chen, Xiangyu, Zhong, Cuncong, Luo, Bo, Teran, Ivan Grijalva, McCornack, Brian, Flippo, Daniel, Sharda, Ajay, Wang, Guanghui
Aphids are one of the main threats to crops, rural families, and global food security. Chemical pest control is a necessary component of crop production for maximizing yields, however, it is unnecessary to apply the chemical approaches to the entire
Externí odkaz:
http://arxiv.org/abs/2307.05929
With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim to present a comprehensive study of the detectability of ChatGPT-gene
Externí odkaz:
http://arxiv.org/abs/2306.05524