Biblio
Filters: Keyword is Security in Deep Learning [Clear All Filters]
.
2020. Data Poisoning Attack on Deep Neural Network and Some Defense Methods. 2020 International Conference on Advanced Computing and Applications (ACOMP). :15–22.
In recent years, Artificial Intelligence has disruptively changed information technology and software engineering with a proliferation of technologies and applications based-on it. However, recent researches show that AI models in general and the most greatest invention since sliced bread - Deep Learning models in particular, are vulnerable to being hacked and can be misused for bad purposes. In this paper, we carry out a brief review of data poisoning attack - one of the two recently dangerous emerging attacks - and the state-of-the-art defense methods for this problem. Finally, we discuss current challenges and future developments.