50 citations · 95 across the 8 of their papers we have counts for
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cs.LG2021★ 5 cited
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao, Jinfeng Yi, Pin-Yu Chen +1
Knowledge distillation (KD) has been widely used in teacher-student training, with applications to model compression in resource-constrained deep learning. Current works mainly foc…
cs.CV2021★ 50 cited
On the Adversarial Robustness of Vision Transformers
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
Following the success in advancing natural language processing and understanding, transformers are expected to bring revolutionary changes to computer vision. This work provides a…
cs.LG2021
Robust Text CAPTCHAs Using Adversarial Examples
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
CAPTCHA (Completely Automated Public Truing test to tell Computers and Humans Apart) is a widely used technology to distinguish real users and automated users such as bots. However…