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stat.ML2026
Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks
Bibhabasu Mandal, Sagnik Nandy
In sensitive applications involving relational datasets, protecting information about individual links from adversarial queries is of paramount importance. In many such settings, t…
stat.ML2025
How Private is Your Attention? Bridging Privacy with In-Context Learning
Soham Bonnerjee, Zhen Wei, Yeon +3
In-context learning (ICL)-the ability of transformer-based models to perform new tasks from examples provided at inference time-has emerged as a hallmark of modern language models.…