465 citations · 1.2k across the 20 of their papers we have counts for
3 papers · 1 filter
Improving Factual Error Correction by Learning to Inject Factual Errors
Xingwei He, Qianru Zhang, A-Long Jin +3
Factual error correction (FEC) aims to revise factual errors in false claims with minimal editing, making them faithful to the provided evidence. This task is crucial for alleviati…
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Junbin Fang, Canjian Jiang, You Jiang +5
Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversaria…
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
Junbin Fang, You Jiang, Canjian Jiang +3
Adversarial attacks can mislead deep learning models to make false predictions by implanting small perturbations to the original input that are imperceptible to the human eye, whic…