作者位次 #5/5ICLR 2026Poster· Social Aspects / Privacy-preserving Statistics and Machine Learning
Membership Privacy Risks of Sharpness Aware Minimization
Young In Kim · Andrea Agiollo · Pratiksha Agrawal · Johannes Royset · Rajiv Khanna
首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。
实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。
Young In Kim · Andrea Agiollo · Pratiksha Agrawal · Johannes Royset · Rajiv Khanna
Haoran Tang · Rajiv Khanna
Hasan Amin · Harry Yizhou Tian · Xiaoni Duan · Chien-Ju Ho · Rajiv Khanna · Ming Yin
Although large language models (LLMs) are increasingly used as annotators at scale, they are typically treated as a pragmatic fallback rather than a faithful estimator of human perspectives. This work challenges that presumption. By framing perspective-taking as the estimation of a latent group-l...
Syed Hasan Amin Mahmood · Ming Yin · Rajiv Khanna