Anil K. Jain

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

2023

Prevailing defense schemes against adversarial face images tend to overfit to the perturbations in the training set and fail to generalize to unseen adversarial attacks. We propose a new self-supervised adversarial defense framework, namely FaceGuard, …

Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling

2024 · arXiv (Cornell University)

This paper improves upon existing data pruning methods for image classification by introducing a novel pruning metric and pruning procedure based on importance sampling. The proposed pruning metric explicitly accounts for data separability, data integrity, …