In these applications a malicious adversary may successfully mislead a classifier by “poisoning” its training data with carefully designed attacks. Bagging is a ...

Our preliminary results suggest that bagging ensembles can be a very promising defence strategy against poisoning attacks, and give us valuable insights for ...

This work argues that poisoning attacks can be viewed as a particular category of outliers, and, thus, bagging ensembles may be effectively exploited ...

Thus, in this work we experimentally investigate whether bagging and weighted bagging can be successfully exploited to fight poisoning attacks in two different ...

Mentioning: 94 - Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks - Biggio, Battista, Corona, Igino, Fumera, Giorgio, ...

Sep 6, 2022 · Bagging classifiers for fighting poisoning attacks in adversarial classification tasks. In International workshop on multiple classifier ...

Nov 21, 2024 · The high-level idea is that to poison all small classifiers, a large number of poisoning points are needed. ... ... While in this survey we ...

Poisoning attacks are staged during classifier training, and they can thus target adaptive or online classifiers, as well as classifiers that are being ...

In this work we argue that poisoning attacks can be viewed as a particular category of outliers, and, thus, bagging ensembles may be effectively exploited ...

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks. B Biggio, I Corona, G Fumera, G Giacinto, F Roli. International ...