1 citations · 2 across the 6 of their papers we have counts for
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cs.CV2023★ 1 cited
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model
Kaiyu Song, Hanjiang Lai
Deep neural networks (DNNs) are vulnerable to adversarial perturbation, where an imperceptible perturbation is added to the image that can fool the DNNs. Diffusion-based adversaria…
cs.LG2023
Two Simple Principles for Diffusion-Based Test-Time Adaptation
Kaiyu Song, Hanjiang Lai, Yan Pan +2
Recently, diffusion-based test-time adaptations (TTA) have shown great advances, which leverage a diffusion model to map the images in the unknown test domain to the training domai…
cs.AI2023★ 1 cited
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Guoliang Lin, Hanjiang Lai, Yan Pan +1
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptatio…