Ziquan Liu

6

Papers

5

Total Citations

Papers (6)

Query-based Knowledge Transfer for Heterogeneous Learning Environments

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking

The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks