Search Results for author: Hua Ma

Found 11 papers, 2 papers with code

CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition

no code implementations7 May 2023 Wei Lu, Hua Ma, Tien-Ping Tan

Emotion recognition using Electroencephalogram (EEG) signals has emerged as a significant research challenge in affective computing and intelligent interaction.

EEG EEG Emotion Recognition

Vertical Federated Learning: Taxonomies, Threats, and Prospects

no code implementations3 Feb 2023 Qun Li, Chandra Thapa, Lawrence Ong, Yifeng Zheng, Hua Ma, Seyit A. Camtepe, Anmin Fu, Yansong Gao

In a number of practical scenarios, VFL is more relevant than HFL as different companies (e. g., bank and retailer) hold different features (e. g., credit history and shopping history) for the same set of customers.

Vertical Federated Learning

TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World

1 code implementation6 Sep 2022 Hua Ma, Yinshan Li, Yansong Gao, Zhi Zhang, Alsharif Abuadbba, Anmin Fu, Said F. Al-Sarawi, Nepal Surya, Derek Abbott

We observe that the backdoor effect of both misclassification and the cloaking are robustly achieved in the wild when the backdoor is activated with inconspicuously natural physical triggers.

Event Detection Image Classification +4

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

no code implementations13 Apr 2022 Huming Qiu, Hua Ma, Zhi Zhang, Alsharif Abuadbba, Wei Kang, Anmin Fu, Yansong Gao

Since Deep Learning (DL) backdoor attacks have been revealed as one of the most insidious adversarial attacks, a number of countermeasures have been developed with certain assumptions defined in their respective threat models.

NTD: Non-Transferability Enabled Backdoor Detection

no code implementations22 Nov 2021 Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott

A backdoor deep learning (DL) model behaves normally upon clean inputs but misbehaves upon trigger inputs as the backdoor attacker desires, posing severe consequences to DL model deployments.

Face Recognition Traffic Sign Recognition

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things

no code implementations9 May 2021 Huming Qiu, Hua Ma, Zhi Zhang, Yifeng Zheng, Anmin Fu, Pan Zhou, Yansong Gao, Derek Abbott, Said F. Al-Sarawi

To this end, a 1-bit quantized DNN model or deep binary neural network maximizes the memory efficiency, where each parameter in a BNN model has only 1-bit.

Quantization

Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering

no code implementations11 Jan 2020 Hua Ma, Ihor Smal, Joost Daemen, Theo van Walsum

The proposed roadmapping and tracking approaches were validated on clinical X-ray images, achieving accurate performance on both catheter tip tracking and dynamic coronary roadmapping experiments.

Motion Estimation Navigate

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