Richard Hartley

Intra Order-preserving Functions for Calibration of Multi-Class Neural\n Networks

2020 · arXiv (Cornell University)

Predicting calibrated confidence scores for multi-class deep networks is\nimportant for avoiding rare but costly mistakes. A common approach is to learn\na post-hoc calibration function that transforms the output of the original\nnetwork into calibrated confidence scores …

Adversarial Purification with the Manifold Hypothesis

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

In this work, we formulate a novel framework for adversarial robustness using the manifold hypothesis. This framework provides sufficient conditions for defending against adversarial examples. We develop an adversarial purification method with this framework. Our …