1. Maksym Andriushchenko , Francesco Croce , Nicolas Flammarion , and Matthias Hein . 2020 . Square attack: a query-efficient black-box adversarial attack via random search. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 , Proceedings, Part XXIII. Springer, 484–501 . Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, and Matthias Hein. 2020. Square attack: a query-efficient black-box adversarial attack via random search. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIII. Springer, 484–501.
2. Giovanni Apruzzese , Hyrum S Anderson , Savino Dambra , David Freeman , Fabio Pierazzi , and Kevin A Roundy . 2022. " Real Attackers Don’t Compute Gradients" : Bridging the Gap Between Adversarial ML Research and Practice. arXiv preprint arXiv:2212.14315 ( 2022 ). Giovanni Apruzzese, Hyrum S Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, and Kevin A Roundy. 2022. " Real Attackers Don’t Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. arXiv preprint arXiv:2212.14315 (2022).
3. Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples
4. Can machine learning be secure?
5. SMOTE: Synthetic Minority Over-sampling Technique