NXSECURE TECHNOLOGIESBusiness Directories,Company Directories

Company Name: Corporate Name:	NXSECURE TECHNOLOGIES
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Company Address:	PO Box 11,RED HOOK,NY,USA
ZIP Code: Postal Code:	12571
Telephone Number:	8458768648 (+1-845-876-8648)
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Website:	nxsecure. com
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USA SIC Code(Standard Industrial Classification Code):	8999
USA SIC Description:	Services NEC
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‪Ruoxin Chen 陈若昕‬ - ‪Google 学术搜索‬
Proceedings of the IEEE CVF International Conference on Computer Vision …
Ruoxin Chen | IEEE Xplore Author Details
Ruoxin Chen received the BS degree in mathematics and statistics from Wuhan University, Wuhan, China, in 2014, and the PhD degree from the School of Computer Science, Shanghai Jiaotong University, in 2023 He is currently a senior researcher with the Youtu Laboratory, Tencent, China
Ruoxin Chens research works | Shanghai Jiao Tong University, Shanghai . . .
Inspired by human associative memory system, we propose a brain-like approach that imitates the associative learning process to achieve continual learning We design a heuristics mechanism to
Ruoxin Chen - 知乎
获得 292 次赞同参与 37 次公共编辑
GitHub - roy-ch Dual-Data-Alignment: This repository is the official . . .
Winning model trained exclusively on DDA-aligned COCO (no face data) A model with zero face data won a face anti-spoofing competition The rapid increase in AI-generated images (AIGIs) underscores the need for detection methods
Ruoxin Chen - Shanghai Jiao Tong University | 人才画像 - AMiner
Ruoxin Chen, Ph D, Shanghai Jiao Tong University,
Ruoxin Chen - dblp
Ruoxin Chen, Zhe Wang, Ke-Yue Zhang, Shuang Wu, Jiamu Sun, Shouli Wang, Taiping Yao, Shouhong Ding: Decoupled Data Augmentation for Improving Image Classification
Ruoxin Chen - 知乎
AIGC（AI-Generated Content）检测技术的目标是判断一张图像是由 AI 模型生成（Fake）还是自然拍摄（Real）。本文聚焦于图像检测部分，关于视频内容的检测将在后续文章中展开。尊敬的丁（奎岭）校长、朱（新远）副校长，并呈杨（振斌）书记，您好！我按照国家自然科学委要求，填写并提交了卡脖子重点项目进展报告，据实撰写了进展报告中的存在问题及解决办法。至今，校科研院未给审核通过，也不书面告诉我原因或修改意见。我痛恨学阀大搞学术不公和弄虚作假，尤其是2020年查处假论文者，受到奚立峰副校长（时任校长林…
【AAAI2022】自适应的随机平滑防御的鲁棒性认证方法 - 知乎
本文介绍被AAAI22接收的新工作。我们是第一个探索了针对随机平滑 (Randomized Smoothing)的高效的针对随机平滑的鲁棒性认证方法。随机平滑是一种常见且 SOTA 的认证防御 (certified defense)，但其一个主要缺点在于鲁棒认证的时候计算开销过大。论文题目：Input-Specific Robustness Certification for Randomized Smoothing 作者信息：Ruoxin Chen, Jie Li*, Junchi Yan, Ping Li, Bin Sheng 关键词：对抗攻击、可认证鲁棒、鲁棒性认证那么现在问题在于，对于每个输入我如何确定该选用多大的采样数。
roy-ch (Ruoxin Chen) · GitHub
This repository is the official implementation of NeurIPS 2025 Paper "Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable"