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SenCAPTCHA

https://doi.org/10.1145/3397312
0 signed · 48 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.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11263.1573-1405openalex-snapshot
International Journal of Computer Vision
inferredcites →https://doi.org/10.1007/978-3-319-39555-5_33openalex-snapshot
CAPTCHaStar! A Novel CAPTCHA Based on Interactive Shape Discovery
inferredcites →https://doi.org/10.1007/978-3-540-30144-8_23openalex-snapshot
Image Recognition CAPTCHAs
inferredcites →https://doi.org/10.1007/s11042-017-4883-7openalex-snapshot
Exploring the influence of CAPTCHA types to the users response time by statistical analysis
inferredcites →https://doi.org/10.1016/b978-0-12-802308-2.00002-3openalex-snapshot
Quantifying user research
inferredcites →https://doi.org/10.1016/j.patcog.2014.09.006openalex-snapshot
Breaking text-based CAPTCHAs with variable word and character orientation
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cse.2010.53openalex-snapshot
A Novel Image Based CAPTCHA Using Jigsaw Puzzle
inferredcites →https://doi.org/10.1109/eurosp.2016.37openalex-snapshot
I am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
inferredcites →https://doi.org/10.1109/iccvw.2011.6130513openalex-snapshot
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization
inferredcites →https://doi.org/10.1109/icdar.2005.205openalex-snapshot
ScatterType: a legible but hard-to-segment CAPTCHA
inferredcites →https://doi.org/10.1109/icde.2008.4497403openalex-snapshot
Human Computation
inferredcites →https://doi.org/10.1109/icisa.2013.6579426openalex-snapshot
Anti-SIFT Images Based CAPTCHA Using Versatile Characters
inferredcites →https://doi.org/10.1109/isecs.2010.65openalex-snapshot
An Audio CAPTCHA to Distinguish Humans from Computers
inferredcites →https://doi.org/10.1109/tai.2003.1250195openalex-snapshot
Using a test-to-speech synthesizer to generate a reverse Turing test
inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot
Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/wacv.2016.7477733openalex-snapshot
Human and sheep facial landmarks localisation by triplet interpolated features
inferredcites →https://doi.org/10.1126/science.1160379openalex-snapshot
reCAPTCHA: Human-Based Character Recognition via Web Security Measures
inferredcites →https://doi.org/10.1145/1101149.1101218openalex-snapshot
IMAGINATION
inferredcites →https://doi.org/10.1145/122672.122692openalex-snapshot
Psychometric evaluation of an after-scenario questionnaire for computer usability studies
inferredcites →https://doi.org/10.1145/1296843.1296894openalex-snapshot
Developing usable CAPTCHAs for blind users
inferredcites →https://doi.org/10.1145/1455770.1455838openalex-snapshot
Machine learning attacks against the Asirra CAPTCHA
inferredcites →https://doi.org/10.1145/1526709.1526822openalex-snapshot
What's up CAPTCHA?
inferredcites →https://doi.org/10.1145/1572532.1572551openalex-snapshot
Balancing usability and security in a video CAPTCHA
inferredcites →https://doi.org/10.1145/1755688.1755736openalex-snapshot
Scene tagging
inferredcites →https://doi.org/10.1145/2207676.2208385openalex-snapshot
The SoundsRight CAPTCHA
inferredcites →https://doi.org/10.1145/2736277.2741683openalex-snapshot
Authentication Melee
inferredcites →https://doi.org/10.1145/966389.966390openalex-snapshot
Telling humans and computers apart automatically
inferredcites →https://doi.org/10.14722/usec.2015.23006openalex-snapshot
Exploring the Usability of CAPTCHAS on Smartphones: Comparisons and Recommendations
inferredcites →https://doi.org/10.21437/icslp.2002-412openalex-snapshot
A reverse turing test using speech
inferredcites →https://doi.org/10.2307/798843openalex-snapshot
The Constant Comparative Method of Qualitative Analysis
inferredcites →https://doi.org/10.48550/arxiv.1312.6082openalex-snapshot
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.5120/ijca2015906537openalex-snapshot
A Novel CAPTCHA Design Approach using Boolean Algebra

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00530-023-01075-0openalex-snapshot
Style matching CAPTCHA: match neural transferred styles to thwart intelligent attacks
inferred← citeshttps://doi.org/10.1016/j.cose.2022.103025openalex-snapshot
A secure annuli CAPTCHA system
inferred← citeshttps://doi.org/10.1016/j.jisa.2021.103036openalex-snapshot
UNI-CAPTCHA: A Novel Robust and Dynamic User-Non-Interaction CAPTCHA Model Based on Hybrid biLSTM+Softmax
inferred← citeshttps://doi.org/10.1109/access.2021.3137360openalex-snapshot
PoPL: Proof-of-Presence and Locality, or How to Secure Financial Transactions on Your Smartphone
inferred← citeshttps://doi.org/10.1109/comst.2022.3191697openalex-snapshot
Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning
inferred← citeshttps://doi.org/10.1109/iceeie59078.2023.10334798openalex-snapshot
CNN Image Classification Model Comparison Between Single-Label and Multi-Label CAPTCHA Dataset
inferred← citeshttps://doi.org/10.1145/3411763.3451985openalex-snapshot
vrCAPTCHA: Exploring CAPTCHA Designs in Virtual Reality
inferred← citeshttps://doi.org/10.1145/3477142openalex-snapshot
Gotta CAPTCHA ’Em All: A Survey of 20 Years of the Human-or-computer Dilemma
inferred← citeshttps://doi.org/10.1145/3551349.3561146openalex-snapshot
Do Regional Variations Affect the CAPTCHA User Experience? A Comparison of CAPTCHAs in China and the United States
inferred← citeshttps://doi.org/10.1145/3559754openalex-snapshot
An Experimental Investigation of Text-based CAPTCHA Attacks and Their Robustness
inferred← citeshttps://doi.org/10.1145/3672608.3707741openalex-snapshot
Swiss Cheese CAPTCHA: A Novel Multi-barrier Mechanism for Bot Detection
inferred← citeshttps://doi.org/10.1145/3742413.3789093openalex-snapshot
AcouLetter: Enabling Fine-Grained Mid-Air Alphabetic Thumb Gesture Recognition on Smartphones with Acoustic and Inertial Sensing
inferred← citeshttps://doi.org/10.23919/mipro52101.2021.9597134openalex-snapshot
ascCAPTCHA: an Invisible Sensor CAPTCHA for PCs Based on Acoustic Side Channel
inferred← citeshttps://doi.org/10.3390/s23042338openalex-snapshot
New Cognitive Deep-Learning CAPTCHA
inferred← citeshttps://doi.org/10.59743/jbs.v36i1.208openalex-snapshot
A SURVEY ON CAPTCHA: ORIGIN, APPLICATIONS AND CLASSIFICATION
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.