Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Chen, Ruoxi"'
Personalized diffusion models have gained popularity for adapting pre-trained text-to-image models to generate images of specific topics with only a few images. However, recent studies find that these models are vulnerable to minor adversarial pertur
Externí odkaz:
http://arxiv.org/abs/2406.18944
Sora is the first large-scale generalist video generation model that garnered significant attention across society. Since its launch by OpenAI in February 2024, no other video generation models have paralleled {Sora}'s performance or its capacity to
Externí odkaz:
http://arxiv.org/abs/2403.13248
Autor:
Liu, Yixin, Zhang, Kai, Li, Yuan, Yan, Zhiling, Gao, Chujie, Chen, Ruoxi, Yuan, Zhengqing, Huang, Yue, Sun, Hanchi, Gao, Jianfeng, He, Lifang, Sun, Lichao
Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The model is trained to generate videos of realistic or imaginative scenes from text instructions and show potential in simulating the physical world. Based on public t
Externí odkaz:
http://arxiv.org/abs/2402.17177
Autor:
Chen, Dongping, Chen, Ruoxi, Zhang, Shilin, Liu, Yinuo, Wang, Yaochen, Zhou, Huichi, Zhang, Qihui, Wan, Yao, Zhou, Pan, Sun, Lichao
Multimodal Large Language Models (MLLMs) have gained significant attention recently, showing remarkable potential in artificial general intelligence. However, assessing the utility of MLLMs presents considerable challenges, primarily due to the absen
Externí odkaz:
http://arxiv.org/abs/2402.04788
The discovery of "jailbreaks" to bypass safety filters of Large Language Models (LLMs) and harmful responses have encouraged the community to implement safety measures. One major safety measure is to proactively test the LLMs with jailbreaks prior to
Externí odkaz:
http://arxiv.org/abs/2402.03299
Text-to-image diffusion models have emerged as an evolutionary for producing creative content in image synthesis. Based on the impressive generation abilities of these models, instruction-guided diffusion models can edit images with simple instructio
Externí odkaz:
http://arxiv.org/abs/2311.12066
Deep neural networks (DNNs) are vulnerable to adversarial examples, which may lead to catastrophe in security-critical domains. Numerous detection methods are proposed to characterize the feature uniqueness of adversarial examples, or to distinguish
Externí odkaz:
http://arxiv.org/abs/2303.18131
Autor:
Chen, Ruoxi, Chen, Jialin, Gong, Zheng, Zhang, Xinyan, Zhu, Xingjian, Yang, Yi, Kaminer, Ido, Chen, Hongsheng, Zhang, Baile, Lin, Xiao
Free-electron radiation offers an enticing route to create light emission at arbitrary spectral regime. However, this type of light emission is generally weak, which is intrinsically limited by the weak particle-matter interaction and unavoidably imp
Externí odkaz:
http://arxiv.org/abs/2302.09495
Autor:
Chen, Ruoxi, Gong, Zheng, Chen, Jialin, Zhang, Xinyan, Zhu, Xingjian, Chen, Hongsheng, Lin, Xiao
Transition radiation is a fundamental process of light emission and occurs whenever a charged particle moves across an inhomogeneous region. One feature of transition radiation is that it can create light emission at arbitrary frequency under any par
Externí odkaz:
http://arxiv.org/abs/2301.00333
Autor:
Chen, Jialin, Chen, Ruoxi, Gong, Zheng, Hu, Hao, Yang, Yi, Zhang, Xinyan, Wang, Chan, Kaminer, Ido, Chen, Hongsheng, Zhang, Baile, Lin, Xiao
When a charged particle penetrates through an optical interface, photon emissions emerge - a phenomenon known as transition radiation. Being paramount to fundamental physics, transition radiation has enabled many applications from high-energy particl
Externí odkaz:
http://arxiv.org/abs/2212.13066