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09/09/2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Machine learning (ML) is promising in accurately detecting malicious flo...
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09/08/2023
Revealing the preference for correcting separated aberrations in joint optic-image design
The joint design of the optical system and the downstream algorithm is a...
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09/07/2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Recently unsupervised machine learning based systems have been developed...
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09/03/2023
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
The development of machine learning models requires a large amount of tr...
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08/25/2023
Exploiting Diverse Feature for Multimodal Sentiment Analysis
In this paper, we present our solution to the MuSe-Personalisation sub-c...
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08/20/2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...
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08/18/2023
Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks
Automatic speech recognition (ASR) provides diverse audio-to-text servic...
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07/04/2023
Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios
The application of unsupervised domain adaptation (UDA)-based fault diag...
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06/29/2023
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
The coronavirus disease 2019 (COVID-19) has led to a global pandemic of ...
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06/15/2023
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
Few-shot knowledge graph completion (FKGC) task aims to predict unseen f...
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05/25/2023
Beryllium: Neural Search for Algorithm Implementations
In this paper, we explore the feasibility of finding algorithm implement...
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05/25/2023
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
Recent studies have demonstrated that natural-language prompts can help ...
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05/10/2023
Computational Optics for Mobile Terminals in Mass Production
Correcting the optical aberrations and the manufacturing deviations of c...
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05/10/2023
Optical Aberration Correction in Postprocessing using Imaging Simulation
As the popularity of mobile photography continues to grow, considerable ...
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04/02/2023
Graph Mining for Cybersecurity: A Survey
The explosive growth of cyber attacks nowadays, such as malware, spam, a...
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03/16/2023
Reliable Image Dehazing by NeRF
We present an image dehazing algorithm with high quality, wide applicati...
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02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
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01/31/2023
Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
In this paper, we propose HyperVision, a realtime unsupervised machine l...
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11/23/2022
Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation
One-shot face re-enactment is a challenging task due to the identity mis...
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11/15/2022
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
HD map reconstruction is crucial for autonomous driving. LiDAR-based met...
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11/09/2022
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...
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10/08/2022
FedDef: Robust Federated Learning-based Network Intrusion Detection Systems Against Gradient Leakage
Deep learning methods have been widely applied to anomaly-based network ...
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10/03/2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Temporal graph is an abstraction for modeling dynamic systems that consi...
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10/01/2022
Heterogeneous Graph Contrastive Multi-view Learning
Inspired by the success of contrastive learning (CL) in computer vision ...
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09/27/2022
IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications
Understanding the origin and influence of the publication's idea is crit...
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09/04/2022
Disentangled Graph Contrastive Learning for Review-based Recommendation
User review data is helpful in alleviating the data sparsity problem in ...
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07/31/2022
Improving Distantly Supervised Relation Extraction by Natural Language Inference
To reduce human annotations for relation extraction (RE) tasks, distantl...
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06/20/2022
Adaptive Domain Interest Network for Multi-domain Recommendation
Industrial recommender systems usually hold data from multiple business ...
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03/29/2022
AnyFace: Free-style Text-to-Face Synthesis and Manipulation
Existing text-to-image synthesis methods generally are only applicable t...
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03/24/2022
GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing
Recently, research communities highlight the necessity of formulating a ...
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03/24/2022
Learning Disentangled Representation for One-shot Progressive Face Swapping
Although face swapping has attracted much attention in recent years, it ...
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03/17/2022
A Systematic Study of Android Non-SDK (Hidden) Service API Security
Android allows apps to communicate with its system services via system s...
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03/04/2022
Voice-Face Homogeneity Tells Deepfake
Detecting forgery videos is highly desirable due to the abuse of deepfak...
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03/04/2022
Quantum Deep Learning for Mutant COVID-19 Strain Prediction
New COVID-19 epidemic strains like Delta and Omicron with increased tran...
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03/04/2022
Towards Benchmarking and Evaluating Deepfake Detection
Deepfake detection automatically recognizes the manipulated medias throu...
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02/14/2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Model-based methods for recommender systems have been studied extensivel...
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02/08/2022
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Face sketch synthesis has been widely used in multi-media entertainment ...
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01/19/2022
CPTAM: Constituency Parse Tree Aggregation Method
Diverse Natural Language Processing tasks employ constituency parsing to...
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01/05/2022
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning
In recent years, significant progress has been achieved in biphasic face...
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12/10/2021
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
Building embodied intelligent agents that can interact with 3D indoor en...
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10/19/2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Adversarial attacks against commercial black-box speech platforms, inclu...
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09/27/2021
Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study
Information flows are intrinsic properties of an multi-stage manufacturi...
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09/15/2021
A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks
Biphasic facial age translation aims at predicting the appearance of the...
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09/09/2021
Truth Discovery in Sequence Labels from Crowds
Annotations quality and quantity positively affect the performance of se...
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09/06/2021
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation
Ultra-high resolution image segmentation has raised increasing interests...
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08/23/2021
Towards Balanced Learning for Instance Recognition
Instance recognition is rapidly advanced along with the developments of ...
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08/21/2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
Graph Neural Networks (GNNs) have achieved state-of-the-art performance ...
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08/07/2021
Scientific X-ray
The rapid development of modern science and technology has spawned rich ...
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07/13/2021
HDMapNet: An Online HD Map Construction and Evaluation Framework
High-definition map (HD map) construction is a crucial problem for auton...
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07/12/2021