Name
Abstract | ||
|---|---|---|
Text-based CAPTCHAs are the most widely used CAPTCHA scheme. Most text-based CAPTCHAs have been cracked. However, previous works have mostly relied on a series of preprocessing steps to attack text CAPTCHAs, which was complicated and inefficient. In this paper, we introduce a simple, generic, and effective end-to-end attack on text CAPTCHAs without any preprocessing. Through a convolutional neural... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIFS.2019.2928622 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
CAPTCHAs,Security,Resistance,Feature extraction,Deep learning,Distance measurement,Noise measurement | Pattern recognition,Computer science,Convolutional neural network,Segmentation,End-to-end principle,Recurrent neural network,Feature extraction,Preprocessor,Artificial intelligence,CAPTCHA,Deep learning | Journal |
Volume | ISSN | Citations |
15 | 1556-6013 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zi Yang | 1 | 33 | 5.48 |
| Haichang Gao | 2 | 172 | 17.41 |
| Zhouhang Cheng | 3 | 2 | 1.10 |
| Yi Liu | 4 | 13 | 3.34 |