Enhancing interpretability in the exploration of high-energy conversion efficiency in CsSnBr3−xIx configurations using crystal graph convolutional neural networks …
T Wang, X Lai, Y Wei, H Guo, H Jin - Science China Materials, 2024 - Springer
Crystal graph convolutional neural networks (CGCNNs) have revolutionized materials
research by eliminating the need for manual feature engineering. However, their lack of …
research by eliminating the need for manual feature engineering. However, their lack of …
Statistical detection of adversarial examples in blockchain-based federated forest in-vehicle network intrusion detection systems
I Aliyu, S Van Engelenburg, MB Mu'Azu, J Kim… - IEEE …, 2022 - ieeexplore.ieee.org
The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected
vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems …
vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems …
CAPTCHA Types and Breaking Techniques: Design Issues, Challenges, and Future Research Directions
The proliferation of the Internet and mobile devices has resulted in malicious bots access to
genuine resources and data. Bots may instigate phishing, unauthorized access, denial-of …
genuine resources and data. Bots may instigate phishing, unauthorized access, denial-of …
[PDF][PDF] A survey on captcha: Origin, applications and classification
AM Algwil - Journal of Basic Sciences, 2023 - researchgate.net
Captcha challenges have become the most widely used techniques to deter the misuse of
services on the Internet. The majority of current Captcha schemes are principally based on …
services on the Internet. The majority of current Captcha schemes are principally based on …
Robust text captchas using adversarial examples
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart)
is a widely used technology to distinguish real users and automated users such as bots …
is a widely used technology to distinguish real users and automated users such as bots …
Super-resolution enhancement method based on generative adversarial network for integral imaging microscopy
The integral imaging microscopy system provides a three-dimensional visualization of a
microscopic object. However, it has a low-resolution problem due to the fundamental …
microscopic object. However, it has a low-resolution problem due to the fundamental …
Restricted‐Area Adversarial Example Attack for Image Captioning Model
H Kwon, SH Kim - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Deep neural networks provide good performance in the fields of image recognition, speech
recognition, and text recognition. For example, recurrent neural networks are used by image …
recognition, and text recognition. For example, recurrent neural networks are used by image …
Captcha image generation: two-step style-transfer learning in deep neural networks
Mobile devices such as sensors are used to connect to the Internet and provide services to
users. Web services are vulnerable to automated attacks, which can restrict mobile devices …
users. Web services are vulnerable to automated attacks, which can restrict mobile devices …
Attacks as defenses: Designing robust audio captchas using attacks on automatic speech recognition systems
Audio CAPTCHAs are supposed to provide a strong defense for online resources; however,
advances in speech-to-text mechanisms have rendered these defenses ineffective. Audio …
advances in speech-to-text mechanisms have rendered these defenses ineffective. Audio …
TICS: Text–image-based semantic CAPTCHA synthesis via multi-condition adversarial learning
CAPTCHA is used to distinguish humans from automated programs and plays an important
role in multimedia security mechanisms. Traditional CAPTCHA methods like image-based …
role in multimedia security mechanisms. Traditional CAPTCHA methods like image-based …