A Separation Result Between Data-oblivious and Data-aware Poisoning
Attacks
A Separation Result Between Data-oblivious and Data-aware Poisoning
Attacks
Poisoning attacks have emerged as a significant security threat to machine learning algorithms. It has been demonstrated that adversaries who make small changes to the training set, such as adding specially crafted data points, can hurt the performance of the output model. Some of the stronger poisoning attacks require the …