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Filters: Author is Dang, Tran Khanh  [Clear All Filters]
2021-06-24
Dang, Tran Khanh, Truong, Phat T. Tran, Tran, Pi To.  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.