Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Zhang Wanrong"'
Autor:
Liu Yuanyuan, Jin Dongyue, Lei Xin, Zhou Yuxin, Zhang Wanrong, Xie Hongytm, Na Weicong, Dai Jlngfing, Wang Zhiyong
Publikováno v:
MATEC Web of Conferences, Vol 395, p 01002 (2024)
A compact electro-opto-thermal model of 2-D vertical cavity surface emitting laser (VCSEL) arrays considering the current crowding effect in each array cell is established to study the impact of oxidation aperture on the device performance. Simulated
Externí odkaz:
https://doaj.org/article/0aa8354e02d346bcaa9a08173c06ca78
Autor:
Zhou Yuxin, Jin Dongyue, Lei Xin, Liu Yuanyuan, Zhang Wanrong, Xie Hongyun, Na Weicong, Dai Jlngfing, Wang Zhiyong
Publikováno v:
MATEC Web of Conferences, Vol 395, p 01001 (2024)
Non-uniform series resistance design of VCSEL arrays is studied to improve thermally induced current bifurcation based on an electro-opto-thermal model of VCSEL arrays. Taking an 850nm VCSEL array with 4×4 cells for example, the impact of series res
Externí odkaz:
https://doaj.org/article/591656e3f1ab4e09a5a66a59d2b4fe62
Although Large Language Models (LLMs) have achieved remarkable performance in numerous downstream tasks, their ubiquity has raised two significant concerns. One is that LLMs can hallucinate by generating content that contradicts relevant contextual i
Externí odkaz:
http://arxiv.org/abs/2410.03026
Publikováno v:
Transactions on Machine Learning Research (2024)
Recent research shows that large language models are susceptible to privacy attacks that infer aspects of the training data. However, it is unclear if simpler generative models, like topic models, share similar vulnerabilities. In this work, we propo
Externí odkaz:
http://arxiv.org/abs/2403.04451
Publikováno v:
Neural Plasticity, Vol 2021 (2021)
Objective. To study the changes in gait characteristics of stroke patients with foot drop after the combination treatment of foot drop stimulator and moving treadmill training and thus provide a basis for the improvement in a foot drop gait after str
Externí odkaz:
https://doaj.org/article/2fe79bf95f54468c8ed1231a5285e39f
Autor:
Haney, Samuel, Shoemate, Michael, Tian, Grace, Vadhan, Salil, Vyrros, Andrew, Xu, Vicki, Zhang, Wanrong
In this paper, we study the concurrent composition of interactive mechanisms with adaptively chosen privacy-loss parameters. In this setting, the adversary can interleave queries to existing interactive mechanisms, as well as create new ones. We prov
Externí odkaz:
http://arxiv.org/abs/2309.05901
The surge in multimodal AI's success has sparked concerns over data privacy in vision-and-language tasks. While CLIP has revolutionized multimodal learning through joint training on images and text, its potential to unintentionally disclose sensitive
Externí odkaz:
http://arxiv.org/abs/2306.08173
Publikováno v:
Proc. ACM Manag. Data 2, 2, Article 94 (May 2024), 26 pages (2024)
Motivated by privacy concerns in long-term longitudinal studies in medical and social science research, we study the problem of continually releasing differentially private synthetic data from longitudinal data collections. We introduce a model where
Externí odkaz:
http://arxiv.org/abs/2306.07884
Autor:
Cummings, Rachel, Desfontaines, Damien, Evans, David, Geambasu, Roxana, Huang, Yangsibo, Jagielski, Matthew, Kairouz, Peter, Kamath, Gautam, Oh, Sewoong, Ohrimenko, Olga, Papernot, Nicolas, Rogers, Ryan, Shen, Milan, Song, Shuang, Su, Weijie, Terzis, Andreas, Thakurta, Abhradeep, Vassilvitskii, Sergei, Wang, Yu-Xiang, Xiong, Li, Yekhanin, Sergey, Yu, Da, Zhang, Huanyu, Zhang, Wanrong
In this article, we present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP), with a focus of advancing DP's deployment in real-world applications. Key points and high-level contents
Externí odkaz:
http://arxiv.org/abs/2304.06929
Autor:
Zhang, Wanrong, Zhang, Ruqi
Publikováno v:
published at ICML 2023
Bayesian inference provides a principled framework for learning from complex data and reasoning under uncertainty. It has been widely applied in machine learning tasks such as medical diagnosis, drug design, and policymaking. In these common applicat
Externí odkaz:
http://arxiv.org/abs/2303.06171