90 citations · 157 across the 11 of their papers we have counts for
11 papers
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion
Pengzhou Cheng, Lei Hua, Haobin Jiang +1
Autonomous vehicles (AVs) are more vulnerable to network attacks due to the high connectivity and diverse communication modes between vehicles and external networks. Deep learning-…
UOR: Universal Backdoor Attacks on Pre-trained Language Models
Wei Du, Peixuan Li, Boqun Li +2
Backdoors implanted in pre-trained language models (PLMs) can be transferred to various downstream tasks, which exposes a severe security threat. However, most existing backdoor at…
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
Haodong Zhao, Wei Du, Junjie Guo +1
Speaker verification has been widely used in many authentication scenarios. However, training models for speaker verification requires large amounts of data and computing power, so…
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator
Yutao Luo, Menghua Lu, Gongshen Liu +1
Neural table-to-text generation approaches are data-hungry, limiting their adaptation for low-resource real-world applications. Previous works mostly resort to Pre-trained Language…
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao, Wei Du, Fangqi Li +2
Federated learning (FL) has enabled global model training on decentralized data in a privacy-preserving way by aggregating model updates. However, for many natural language process…
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Cewu Lu +3
Recent works of point clouds show that mulit-frame spatio-temporal modeling outperforms single-frame versions by utilizing cross-frame information. In this paper, we further improv…
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
Haolin Zhou, Chaoqi Yang, Xiaofeng Gao +3
Online Real-Time Bidding (RTB) is a complex auction game among which advertisers struggle to bid for ad impressions when a user request occurs. Considering display cost, Return on…
Multiple Character Embeddings for Chinese Word Segmentation
Jingkang Wang, Jianing Zhou, Jie Zhou +1
Chinese word segmentation (CWS) is often regarded as a character-based sequence labeling task in most current works which have achieved great success with the help of powerful neur…
Efficient feature learning and multi-size image steganalysis based on CNN
Ru Zhang, Feng Zhu, Jianyi Liu +1
For steganalysis, many studies showed that convolutional neural network has better performances than the two-part structure of traditional machine learning methods. However, there…
Sliced Recurrent Neural Networks
Zeping Yu, Gongshen Liu
Recurrent neural networks have achieved great success in many NLP tasks. However, they have difficulty in parallelization because of the recurrent structure, so it takes much time…
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu +2
Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response matching for multi-turn conversa…