Zobrazeno 1 - 10
of 539
pro vyhledávání: '"Jia, Shuai"'
Publikováno v:
International Joint Conferences on Artificial Intelligence,2023
The remarkable achievements and rapid advancements of Large Language Models (LLMs) such as ChatGPT and GPT-4 have showcased their immense potential in quantitative investment. Traders can effectively leverage these LLMs to analyze financial news and
Externí odkaz:
http://arxiv.org/abs/2310.05627
Autor:
Jia, Shuai, Yin, Bangjie, Yao, Taiping, Ding, Shouhong, Shen, Chunhua, Yang, Xiaokang, Ma, Chao
Deep learning models have shown their vulnerability when dealing with adversarial attacks. Existing attacks almost perform on low-level instances, such as pixels and super-pixels, and rarely exploit semantic clues. For face recognition attacks, exist
Externí odkaz:
http://arxiv.org/abs/2210.06871
Various facial manipulation techniques have drawn serious public concerns in morality, security, and privacy. Although existing face forgery classifiers achieve promising performance on detecting fake images, these methods are vulnerable to adversari
Externí odkaz:
http://arxiv.org/abs/2203.15674
Publikováno v:
In Chemical Engineering Journal 15 August 2024 494
Publikováno v:
In Transportation Research Part C August 2024 165
Publikováno v:
In Transportation Research Part E April 2024 184
Publikováno v:
In Computers & Industrial Engineering April 2024 190
Publikováno v:
In Transportation Research Part B March 2024 181
Adversarial attack arises due to the vulnerability of deep neural networks to perceive input samples injected with imperceptible perturbations. Recently, adversarial attack has been applied to visual object tracking to evaluate the robustness of deep
Externí odkaz:
http://arxiv.org/abs/2103.14938
Autor:
Li, Shuangwen, Hou, Dongmei, Cui, yongsheng, Jia, Shuai, Lan, Gong, Sun, Weiling, Li, Guiyang, Li, Xin, Feng, Wei
Publikováno v:
In Carbon 31 January 2024 218