Design of intentional backdoors in sequential models

26 Feb 2019Zhaoyuan YangNaresh IyerJohan ReimannNurali Virani

Recent work has demonstrated robust mechanisms by which attacks can be orchestrated on machine learning models. In contrast to adversarial examples, backdoor or trojan attacks embed surgically modified samples with targeted labels in the model training process to cause the targeted model to learn to misclassify chosen samples in the presence of specific triggers, while keeping the model performance stable across other nominal samples... (read more)

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