On the public citation graph
2D Captchas from 3D Models
0 signed · 37 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-39200-9_18openalex-snapshot
CAPTCHA: Using Hard AI Problems for Security
inferredcites →https://doi.org/10.1007/3-540-45682-1_4openalex-snapshot
Secure Human Identification Protocols
inferredcites →https://doi.org/10.1007/978-3-540-30144-8_23openalex-snapshot
Image Recognition CAPTCHAs
inferredcites →https://doi.org/10.1007/s10032-002-0089-1openalex-snapshot
PessimalPrint: a reverse Turing test
inferredcites →https://doi.org/10.1016/j.cviu.2003.10.016openalex-snapshot
Region-based image retrieval using integrated color, shape, and location index
inferredcites →https://doi.org/10.1109/acvmot.2005.15openalex-snapshot
Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models
inferredcites →https://doi.org/10.1109/cvpr.2003.1211347openalex-snapshot
Recognizing objects in adversarial clutter: breaking a visual CAPTCHA
inferredcites →https://doi.org/10.1109/cvpr.2004.1315140openalex-snapshot
Distortion estimation techniques in solving visual CAPTCHAs
inferredcites →https://doi.org/10.1109/icdar.2001.953966openalex-snapshot
Pessimal print: a reverse Turing test
inferredcites →https://doi.org/10.1109/icdar.2003.1227701openalex-snapshot
Using character recognition and segmentation to tell computer from humans
inferredcites →https://doi.org/10.1109/icdar.2005.205openalex-snapshot
ScatterType: a legible but hard-to-segment CAPTCHA
inferredcites →https://doi.org/10.1109/robot.2004.1302534openalex-snapshot
Calculating the 3d-pose of rigid-objects using active appearance models
inferredcites →https://doi.org/10.1117/12.479682openalex-snapshot
BaffleText: a Human Interactive Proof
inferredcites →https://doi.org/10.1117/12.587811openalex-snapshot
ScatterType: a reading CAPTCHA resistant to segmentation attack
inferredcites →https://doi.org/10.1145/586110.586133openalex-snapshot
Securing passwords against dictionary attacks
inferredcites →https://doi.org/10.1145/586131.586133openalex-snapshot
Securing passwords against dictionary attacks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/sec.1157openalex-snapshot
CAPTCHA and its Alternatives: A Review
inferred← citeshttps://doi.org/10.1007/978-3-642-05437-2_2openalex-snapshot
Remotely Telling Humans and Computers Apart: An Unsolved Problem
inferred← citeshttps://doi.org/10.1007/978-981-13-1483-4_4openalex-snapshot
CAPTCHA Design and Security Issues
inferred← citeshttps://doi.org/10.1007/s11042-009-0341-5openalex-snapshot
An efficient segmentation algorithm for CAPTCHAs with line cluttering and character warping
inferred← citeshttps://doi.org/10.1007/s11042-013-1823-zopenalex-snapshot
A computer vision attack on the ARTiFACIAL CAPTCHA
inferred← citeshttps://doi.org/10.1016/j.cose.2020.101947openalex-snapshot
SoK: Machine vs. machine – A systematic classification of automated machine learning-based CAPTCHA solvers
inferred← citeshttps://doi.org/10.1016/j.ins.2021.07.040openalex-snapshot
Make complex CAPTCHAs simple: A fast text captcha solver based on a small number of samples
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.08.109openalex-snapshot
A survey of CAPTCHA technologies to distinguish between human and computer
inferred← citeshttps://doi.org/10.1109/ccem.2012.6354589openalex-snapshot
A New Scheme for Mobile Based CAPTCHA Service on Cloud
inferred← citeshttps://doi.org/10.1109/eic.2015.7230732openalex-snapshot
A new avatar dynamic image based CAPTCHA service on cloud for Mobile devices
inferred← citeshttps://doi.org/10.1109/icis.2009.125openalex-snapshot
Dealing with Telephone Fraud Using CAPTCHA
inferred← citeshttps://doi.org/10.1109/ihci.2012.6481832openalex-snapshot
Image CAPTCHA: Based on human understanding of real world distances
inferred← citeshttps://doi.org/10.1109/iske.2008.4730926openalex-snapshot
Bibliography of works done on CAPTCHA
inferred← citeshttps://doi.org/10.1109/sp.2010.31openalex-snapshot
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
inferred← citeshttps://doi.org/10.1109/tmm.2020.3013376openalex-snapshot
Robust CAPTCHAs Towards Malicious OCR
inferred← citeshttps://doi.org/10.1145/1408664.1408671openalex-snapshot
Usability of CAPTCHAs or usability issues in CAPTCHA design
inferred← citeshttps://doi.org/10.22042/isecure.2015.4.1.7openalex-snapshot
SEIMCHA: A New Semantic Image CAPTCHA Using Geometric Transformations
inferred← citeshttps://doi.org/10.4018/978-1-4666-4789-3.ch010openalex-snapshot
Distinguishing Human Users from Bots
inferred← citeshttps://doi.org/10.5220/0003517001570167openalex-snapshot
ON THE STRENGTH OF EGGLUE AND OTHER LOGIC CAPTCHAs
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.