Exploring adversarial attacks and defenses for fake twitter account detection

Did you know that some of the most common used social media channels are being affected by the creation of false accounts that aims to bias the opinion of specific large groups of people by publishing fake news.

Have you ever thought how might be possible to detect such accounts?

One of CARAMEL’s partners  has just released a very interesting article about Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection.

We encourage to read this interesting just released paper.

  • Papandreou, Andreas, Andreas Kloukiniotis, Aris Lalos, and Konstantinos Moustakas. “Deep Multi-Modal Data Analysis and Fusion for Robust Scene Understanding in CAVs”. Edited by IEEE MMSP 2021 (October 2021).
  • Kantartopoulos, Panagiotis, Nikolaos Pitropakis, Alexios Mylonas, and Nicolas Kylilis. “Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection”. Technologies 8, no. 4 (2020): 64. doi:https://doi.org/10.3390/technologies8040064.

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