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Wild patterns reloaded: A survey of machine learning security against training data poisoning
The success of machine learning is fueled by the increasing availability of computing power
and large training datasets. The training data is used to learn new models or update existing …
and large training datasets. The training data is used to learn new models or update existing …
Detecting backdoors during the inference stage based on corruption robustness consistency
Deep neural networks are proven to be vulnerable to backdoor attacks. Detecting the trigger
samples during the inference stage, ie, the test-time trigger sample detection, can prevent …
samples during the inference stage, ie, the test-time trigger sample detection, can prevent …