Outputs (2)

The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web (2024)
Presentation / Conference Contribution
Ousat, B., Schafir, E., Tofighi, M., Hoang, D., Nguyen, C., Arshad, S., Uluagac, S., & Kharraz, A. (2024, May). The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. Presented at The ACM Web Conference 2024, Singapore

The web ecosystem is a fast-paced environment. In this dynamic landscape, new security features are offered one after another to enhance the security and robustness of web applications and the operations they handle. This paper focuses on a fragile b... Read More about The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web.

Lifelong Learning for Deep Neural Networks with Bayesian Principles (2024)
Book Chapter
Nguyen, C. V., Swaroop, S., Bui, T. D., Li, Y., & Turner, R. E. (2024). Lifelong Learning for Deep Neural Networks with Bayesian Principles. In X. Li, S. Ramasamy, A. Ambikapathi, S. Sundaram, & H. M. Fayek (Eds.), Towards Human Brain Inspired Lifelong Learning (51-72). World Scientific Publishing. https://doi.org/10.1142/9789811286711_0004

This chapter describes a general Bayesian framework for the lifelong learning of artificial neural networks that can handle catastrophic forgetting in a principled way. The framework can be applied to both discriminative and generative models as well... Read More about Lifelong Learning for Deep Neural Networks with Bayesian Principles.