Gotta CAPTCHA'Em all: a survey of 20 Years of the human-or-computer Dilemma
M Guerar, L Verderame, M Migliardi… - ACM Computing …, 2021 - dl.acm.org
A recent study has found that malicious bots generated nearly a quarter of overall website
traffic in 2019 [102]. These malicious bots perform activities such as price and content …
traffic in 2019 [102]. These malicious bots perform activities such as price and content …
An experimental investigation of text-based captcha attacks and their robustness
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 …
attacks. With the rapid development of deep learning techniques, many new methods to …
Yet another text captcha solver: A generative adversarial network based approach
Despite several attacks have been proposed, text-based CAPTCHAs are still being widely
used as a security mechanism. One of the reasons for the pervasive use of text captchas is …
used as a security mechanism. One of the reasons for the pervasive use of text captchas is …
No bot expects the DeepCAPTCHA! Introducing immutable adversarial examples, with applications to CAPTCHA generation
M Osadchy, J Hernandez-Castro… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Recent advances in deep learning (DL) allow for solving complex AI problems that used to
be considered very hard. While this progress has advanced many fields, it is considered to …
be considered very hard. While this progress has advanced many fields, it is considered to …
Research on deep learning techniques in breaking text-based captchas and designing image-based captcha
M Tang, H Gao, Y Zhang, Y Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The ability of hackers to infiltrate computer systems using computer attack programs and
bots led to the development of Captchas or Completely Automated Public Turing Tests to …
bots led to the development of Captchas or Completely Automated Public Turing Tests to …
Throwing darts in the dark? detecting bots with limited data using neural data augmentation
Machine learning has been widely applied to building security applications. However, many
machine learning models require the continuous supply of representative labeled data for …
machine learning models require the continuous supply of representative labeled data for …
[PDF][PDF] A Simple Generic Attack on Text Captchas.
Text-based Captchas have been widely deployed across the Internet to defend against
undesirable or malicious bot programs. Many attacks have been proposed; these fine prior …
undesirable or malicious bot programs. Many attacks have been proposed; these fine prior …
Recent advances of Captcha security analysis: a short literature review
NT Dinh, VT Hoang - Procedia Computer Science, 2023 - Elsevier
CAPTCHA has long been used to keep bots from misusing web services. Various CAPTCHA
schemes have been proposed over the years, principally to increase usability and security …
schemes have been proposed over the years, principally to increase usability and security …
Research on the security of microsoft's two-layer captcha
H Gao, M Tang, Y Liu, P Zhang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Captcha is a security mechanism designed to differentiate between computers and humans,
and is used to defend against malicious bot programs. Text-based Captchas are the most …
and is used to defend against malicious bot programs. Text-based Captchas are the most …
Adversarial captchas
Following the principle of to set one's own spear against one's own shield, we study how to
design adversarial completely automated public turing test to tell computers and humans …
design adversarial completely automated public turing test to tell computers and humans …