15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Adversarial machine learning for protecting against online manipulation
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi +1
Adversarial examples are inputs to a machine learning system that result in an incorrect output from that system. Attacks launched through this type of input can cause severe conse…
cs.SI2019★ 15 cited
Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi +1
The arm race between spambots and spambot-detectors is made of several cycles (or generations): a new wave of spambots is created (and new spam is spread), new spambot filters are…