65 citations · 162 across the 30 of their papers we have counts for
6 papers · 1 filter
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang, Fangjiao Zhang, Qichao Jin +3
Federated Learning (FL) has received increasing attention due to its privacy protection capability. However, the base algorithm FedAvg is vulnerable when it suffers from so-called…
Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida, Sai Venkatesh Chilukoti, Xiali Hei +1
Transpose convolution has shown prominence in many deep learning applications. However, transpose convolution layers are computationally intensive due to the increased feature map…
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Vijay Srinivas Tida Sai Venkatesh Chilukoti, Sonya Hsu, Xiali Hei
Recent studies demonstrated that X-ray radiography showed higher accuracy than Polymerase Chain Reaction (PCR) testing for COVID-19 detection. Therefore, applying deep learning mod…
Towards Adversarial Control Loops in Sensor Attacks: A Case Study to Control the Kinematics and Actuation of Embedded Systems
Yazhou Tu, Sara Rampazzi, Xiali Hei
Recent works investigated attacks on sensors by influencing analog sensor components with acoustic, light, and electromagnetic signals. Such attacks can have extensive security, re…
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA
Md Imran Hossen, Xiali Hei
CAPTCHAs are designed to prevent malicious bot programs from abusing websites. Most online service providers deploy audio CAPTCHAs as an alternative to text and image CAPTCHAs for…
A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model
Vijay Srinivas Tida, Sonya Hsu, Xiali Hei
An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly.