I am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
By Suphannee Sivakorn, Iasonas Polakis, Angelos Dennis Keromytis. 2016
146 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Vitaly Shmatikov
- M. Sadegh Riazi
- Richard McPherson
- Thomas Schneider
- Oleksandr Tkachenko
- Fabian Monrose
- Reza Shokri
- Ebrahim M. Songhori
In Information Systems
- Farinaz Koushanfar
- M. Sadegh Riazi
- Thomas Schneider
- Vitaly Shmatikov
- Fabian Monrose
- Reza Shokri
- Ebrahim M. Songhori
- Manos Antonakakis
Citations in the corpus
- Defeating Image Obfuscation with Deep Learning (2016, background): “Sivakorn et al. [44] used deep convolutional neural networks to break Google’s image CAPTCHAs (which ask users to identify images that have a particular object in them).”
- Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications (2018, background): “Moreover, deep learning can be used to break semantic image CAPTCHAs [86].”
- Practical Attacks Against Graph-based Clustering (2017, background): “For example, features are directly obtained from spam emails [36, 60], PDF files [49, 53, 62], phishing pages [49], images [16, 25, 44, 52], network attack packets [24], and exploits [55, 58].”