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pro vyhledávání: '"WU Weibin"'
Deep neural network based systems deployed in sensitive environments are vulnerable to adversarial attacks. Unrestricted adversarial attacks typically manipulate the semantic content of an image (e.g., color or texture) to create adversarial examples
Externí odkaz:
http://arxiv.org/abs/2410.02240
Neural Code Completion Tools (NCCTs) have reshaped the field of software engineering, which are built upon the language modeling technique and can accurately suggest contextually relevant code snippets. However, language models may emit the training
Externí odkaz:
http://arxiv.org/abs/2309.07639
Latent diffusion models achieve state-of-the-art performance on a variety of generative tasks, such as image synthesis and image editing. However, the robustness of latent diffusion models is not well studied. Previous works only focus on the adversa
Externí odkaz:
http://arxiv.org/abs/2306.08257
Autor:
Wang, Wenxuan, Huang, Jingyuan, Chen, Chang, Gu, Jiazhen, Zhang, Jianping, Wu, Weibin, He, Pinjia, Lyu, Michael
The exponential growth of social media platforms, such as Facebook and TikTok, has revolutionized communication and content publication in human society. Users on these platforms can publish multimedia content that delivers information via the combin
Externí odkaz:
http://arxiv.org/abs/2305.13623
Vision transformers (ViTs) have been successfully deployed in a variety of computer vision tasks, but they are still vulnerable to adversarial samples. Transfer-based attacks use a local model to generate adversarial samples and directly transfer the
Externí odkaz:
http://arxiv.org/abs/2303.15754
Autor:
Zhang, Jianping, Huang, Jen-tse, Wang, Wenxuan, Li, Yichen, Wu, Weibin, Wang, Xiaosen, Su, Yuxin, Lyu, Michael R.
Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon negatively affects their deployment in real-world scenarios, especial
Externí odkaz:
http://arxiv.org/abs/2303.15735
Autor:
Wang, Wenxuan, Huang, Jen-tse, Wu, Weibin, Zhang, Jianping, Huang, Yizhan, Li, Shuqing, He, Pinjia, Lyu, Michael
The exponential growth of social media platforms such as Twitter and Facebook has revolutionized textual communication and textual content publication in human society. However, they have been increasingly exploited to propagate toxic content, such a
Externí odkaz:
http://arxiv.org/abs/2302.05706
Publikováno v:
In Food Chemistry Advances December 2024 5
Publikováno v:
In Food Hydrocolloids March 2025 160 Part 1
Autor:
Yu, Baiqing, Xu, Yanling, Nie, Jianliang, Li, Dingfan, Su, Zijuan, Huang, Zhi, Zhang, Xiaocan, Wu, Weibin, Li, Hai, Zhou, Wuyi, Zheng, Wenxu
Publikováno v:
In Polymer 10 January 2025 316