Text-based CAPTCHA has become one of the most popular methods for preventing bot
attacks. With the rapid development of deep learning techniques, many new methods to …

Deep Neural Networks (DNNs) have been the driving force behind many of the recent
advances in machine learning. However, research has shown that DNNs are vulnerable to …

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic
and introduces popular algorithms on adversarial attack, defense and veri? cation. Sections …

Adversarial robustness studies the worst-case performance of a machine learning model to
ensure safety and reliability. With the proliferation of deep-learning-based technology, the …

Abstract Completely Automated Public Turing Test To Tell Computer and Humans Apart
(CAPTCHA) is a computer program that prevents malicious computer users. Text-CAPTCHA …

The proliferation of the Internet and mobile devices has resulted in malicious bots access to
genuine resources and data. Bots may instigate phishing, unauthorized access, denial-of …

The Completely Automated Public Turing test to tell Computers and Humans Apart
(CAPTCHA) technique has been a topic of interest for several years. The ability of computers …

The Internet of Things environment (eg, smart phones, smart televisions, and smart watches)
ensures that the end user experience is easy, by connecting lives on web services via the …

Adversarial sample-based privacy protection has its own advantages compared to
traditional privacy protections. Previous adversarial sample privacy protections have mostly …

Protecting the privacy of personal information, including emotions, is essential, and
organizations must comply with relevant regulations to ensure privacy. Unfortunately, some …