Nowadays, CAPTCHAs are computer generated tests that human can pass but current computer systems can not. They have common usage in various web services in order to be able to detect a human from computer programs autonomously. In this way, owners can protect their web services from bots. In addition to visual CAPTCHAs which consist of distorted images, mostly test images, that a user must write some description about that image, there are a significant amount of audio CAPTCHAs as well. Briefly, audio CAPTCHAs are sound files which consist of human sound under heavy noise where the speaker pronounces a bunch of digits consecutively. Generally, in those sound files, there are some periodic and non-periodic noises to get difficult to recognize them with a program but not for a human listener. We gathered numerous randomly collected audio file to train and then test them using our SVM algorithm to be able to extract digits out of each conversation.
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
School of Computer Science（计算机学院）；University College Dublin（都柏林大学学院）；School of Computer Science and Statistics（计算机与统计学院）；Trinity College Dublin（都柏林圣三一学院）；University of Science（科学大学）
Aura-CAPTCHA: A Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System
Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India（昌迪加尔大学计算机科学与工程系，莫哈利，旁遮普，印度）；Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies（曼纳瓦拉国际研究与学习研究所计算机科学与工程系）
Automatic Feature Extraction for Heartbeat Anomaly Detection
Romanian Institute of Science and Technology（罗马尼亚科学技术研究院）；Babes-Bolyai University（巴比什-波雅依大学）；Max Planck Institute for Mathematics in the Sciences（马克斯·普朗克数学与科学研究所）
Automatic Cough Analysis for Non-Small Cell Lung Cancer Detection
Department of Electronics, Information and Bioengineering, Politecnico di Milano（电子、信息与生物工程学院，米兰理工学院）；Fondazione IRCCS Istituto Nazionale dei Tumori di Milano（米兰国家肿瘤研究所）；Department of Medicine, Section of Hematology/Oncology, University of Chicago（医学学院，血液学/肿瘤学部门，芝加哥大学）；LEARNLab, IRCCS Istituto Neurologico Carlo Besta（LEARN实验室，卡尔·贝斯塔神经病学研究所）
