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Nassar, M., Itani, A., Karout, M., El Baba, M., & Kaakaji, O. A. S. (2019). Shoplifting Smart Stores Using Adversarial Machine Learning. In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) (pp. 1-6). IEEE.
https://doi.org/10.1109/aiccsa47632.2019.9035236

has been cited by the following article:

• TITLE: The Effects of Cashierless Technology on Amazon’s Stock Price

  AUTHORS: Ngoc My Hai Nguyen (Jearlie)

  KEYWORDS: Cashierless Technology, Volatility, Amazon’s Grocery Stores, Stock Returns, Financial Market

  JOURNAL NAME: iBusiness, Vol.17 No.3, September 29, 2025

  ABSTRACT: The purpose of this study is to investigate how cashierless technology affects Amazon’s stock market performance using scatterplot graphics, T-tests, and regression analysis. The paper analyses changes in Amazon stock return and volatility before and after the launch of cashierless technology in Amazon’s first grocery store. The results show a significant decrease in volatility, which suggests that the market sees the cashierless technology as a way to make things more stable. But there isn’t a statistically significant difference in stock returns, indicating that while innovation may influence risk perception, it does not necessarily translate into short-term gains.