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cs.LG2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun +3
Few-shot classifiers have been shown to exhibit promising results in use cases where user-provided labels are scarce. These models are able to learn to predict novel classes simply…
cs.LG2019
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak +2
Mouse dynamics is a potential means of authenticating users. Typically, the authentication process is based on classical machine learning techniques, but recently, deep learning te…