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12/28/2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Federated Learning (FL) has received increasing attention due to its pri...
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09/08/2022
Kernel-Segregated Transpose Convolution Operation
Transpose convolution has shown prominence in many deep learning applica...
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09/07/2022
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Recent studies demonstrated that X-ray radiography showed higher accurac...
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03/15/2022
Towards Adversarial Control Loops in Sensor Attacks: A Case Study to Control the Kinematics and Actuation of Embedded Systems
Recent works investigated attacks on sensors by influencing analog senso...
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03/05/2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA
CAPTCHAs are designed to prevent malicious bot programs from abusing web...
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04/10/2021
A Low-Cost Attack against the hCaptcha System
CAPTCHAs are a defense mechanism to prevent malicious bot programs from ...
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04/07/2021
An Object Detection based Solver for Google's Image reCAPTCHA v2
Previous work showed that reCAPTCHA v2's image challenges could be solve...
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03/11/2021
A Survey on Limitation, Security and Privacy Issues on Additive Manufacturing
Additive manufacturing (AM) is growing as fast as anyone can imagine, an...
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01/18/2021
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Blood glucose (BG) management is crucial for type-1 diabetes patients re...
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04/29/2019
Typer vs. CAPTCHA: Private information based CAPTCHA to defend against crowdsourcing human cheating
Crowdsourcing human-solving or online typing attacks are destructive pro...
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04/10/2019
Trick or Heat? Attack on Amplification Circuits to Abuse Critical Temperature Control Systems
Temperature sensors are extensively used in real-time monitoring and con...
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06/20/2018