The GANfather: Controllable generation of malicious activity to improve defence systems

Author:

Pereira Ricardo Ribeiro1ORCID,Bono Jacopo2ORCID,Ascensão João Tiago2ORCID,Aparício David3ORCID,Ribeiro Pedro3ORCID,Bizarro Pedro2ORCID

Affiliation:

1. Feedzai, Portugal and DCC / FCUP, University of Porto, Portugal

2. Feedzai, Portugal

3. DCC / FCUP, University of Porto, Portugal

Publisher

ACM

Reference37 articles.

1. Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks

2. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214–223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214–223.

3. Robin Burke , Bamshad Mobasher , and Runa Bhaumik . 2005 . Limited knowledge shilling attacks in collaborative filtering systems . In Proceedings of 3rd international workshop on intelligent techniques for web personalization (ITWP 2005), 19th international joint conference on artificial intelligence (IJCAI 2005). 17–24. Robin Burke, Bamshad Mobasher, and Runa Bhaumik. 2005. Limited knowledge shilling attacks in collaborative filtering systems. In Proceedings of 3rd international workshop on intelligent techniques for web personalization (ITWP 2005), 19th international joint conference on artificial intelligence (IJCAI 2005). 17–24.

4. Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems

5. Finding Suspicious Activities in Financial Transactions and Distributed Ledgers

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