Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application

Published in ICCV - AROW, 2021

Recommended citation: Ghamizi, S., Cordy, M., Papadakis, M., & Traon, Y.L. (2021). Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision.