Chenhao Ying

Rethinking Domain Generalization: Discriminability and Generalizability

2023 · arXiv (Cornell University)

Domain generalization(DG) endeavors to develop robust models that possess strong generalizability while preserving excellent discriminability. Nonetheless, pivotal DG techniques tend to improve the feature generalizability by learning domain-invariant representations, inadvertently overlooking the feature discriminability. On …

Privacy-Preserving UCB Decision Process Verification via zk-SNARKs

2024 · arXiv (Cornell University)

With the increasingly widespread application of machine learning, how to strike a balance between protecting the privacy of data and algorithm parameters and ensuring the verifiability of machine learning has always been a challenge. This …