Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
cs.LG
Abstract
This paper proposes a poisoning attack based on back-gradient optimization, which extends the applicability of poisoning attacks to a wider class of learning algorithms, including neural networks and deep learning architectures, and demonstrates its effectiveness on several real-world applications.