21 citations · 36 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 21 cited
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin, Chun Pong Lau, Alexander Levine +2
Adversarial training is a popular defense strategy against attack threat models with bounded Lp norms. However, it often degrades the model performance on normal images and the def…
eess.IV2020★ 7 cited
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
Cheng Peng, Wei-An Lin, Haofu Liao +2
Deep learning-based single image super-resolution (SISR) methods face various challenges when applied to 3D medical volumetric data (i.e., CT and MR images) due to the high memory…
cs.LG2019★ 8 cited
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin, Yogesh Balaji, Pouya Samangouei +1
Inferring the latent variable generating a given test sample is a challenging problem in Generative Adversarial Networks (GANs). In this paper, we propose InvGAN - a novel framewor…