research
∙
09/12/2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
Deep Neural Networks (DNNs) have led to unprecedented progress in variou...
share
research
∙
08/02/2023
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion
Autonomous vehicles (AVs) are more vulnerable to network attacks due to ...
research
∙
05/16/2023
UOR: Universal Backdoor Attacks on Pre-trained Language Models
Backdoors implanted in pre-trained language models (PLMs) can be transfe...
research
∙
03/28/2023
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
Speaker verification has been widely used in many authentication scenari...
research
∙
08/25/2022
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning
Federated learning (FL) has enabled global model training on decentraliz...
research
∙
08/23/2022
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator
Neural table-to-text generation approaches are data-hungry, limiting the...
research
∙
08/18/2022
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering
Cyber threat hunting is a proactive search process for hidden threats in...
research
∙
08/12/2020
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Recent works of point clouds show that mulit-frame spatio-temporal model...
research
∙
02/18/2020
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
Online real-time bidding (RTB) is known as a complex auction game where ...
research
∙
08/15/2018
Multiple Character Embeddings for Chinese Word Segmentation
Chinese word segmentation (CWS) is often regarded as a character-based s...
research
∙
07/30/2018
Efficient feature learning and multi-size image steganalysis based on CNN
For steganalysis, many studies showed that convolutional neural network ...
research
∙
07/06/2018
Sliced Recurrent Neural Networks
Recurrent neural networks have achieved great success in many NLP tasks....
research
∙
06/24/2018
