Xin Lin

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense

2020

While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks. Tremendous research efforts have been dedicated to mitigating the threats of …

Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification

2021

Few-shot learning can recognize a novel category based on only a few samples because it learns to learn from a lot of labeled samples during the training process. When data is insufficient, the performance is …

Individual-Level Dominant Exemplar Selection for Particle Swarm Optimization

2024

Leading exemplars play significant roles in updating particles to seek optimal solutions for Particle Swarm Optimization (PSO). Along this road, this paper devises an Individual-level Dominant Exemplar Selection (IDES) framework for PSO, giving rise to …