基本信息
浏览量:810
职业迁徙
个人简介
My research aims to build trustworthy AI systems that can be safely and reliably used in mission-critical tasks, with a focus of using formal verification techniques to give provable worst-case performance guarantees. I proposed and advanced a novel bound-propagation-based verification framework for deep neural networks that enables formal verification for networks with millions of neurons. I am leading the development of the α,β-CROWN neural network verifier, which won VNN-COMP 2022 and VNN-COMP 2021. In addition, I studied the security and safety of AI models, especially their adversarial robustness. I am a receipient of IBM PhD Fellowship and Schmidt Futures AI2050 Early Career Fellowship.
研究兴趣
论文共 92 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
NEURAL NETWORKS (2024): 388-397
arXiv (Cornell University) (2023)
引用0浏览0引用
0
0
Organizers Of Queer in AI,Anaelia Ovalle,Arjun Subramonian,Ashwin Singh,Claas Voelcker, Danica J. Sutherland,Davide Locatelli,Eva Breznik, Filip Klubička,Hang Yuan, Hetvi J,Huan Zhang,
CoRR (2023): 1882-1895
引用2浏览0EI引用
2
0
ICML 2023pp.21586-21610, (2023)
引用2浏览0EI引用
2
0
PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUM (2023): 4787-4804
引用2浏览0EI引用
2
0
CoRR (2023): 90-101
Inf. Sci. (2023): 119501-119501
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn