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Found 9 papers, 4 papers with code
Empowering Computing and Networks Convergence System with Distributed Cooperative Routing
The cross-plane cooperative end-to-end routing schemes consider both computation efficiency of heterogeneous servers and the network congestion degrees while making routing plan, thereby determining where to execute requests and corresponding routing paths.
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Universal domain adaptation (UniDA) is a practical but challenging problem, in which information about the relation between the source and the target domains is not given for knowledge transfer.
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Artificial Intelligence for Web 3.0: A Comprehensive Survey
Then, we thoroughly analyze the current state of AI technology applications in the four layers of Web 3. 0 and offer some insights into its potential future development direction.
Towards Balanced Active Learning for Multimodal Classification
Our studies demonstrate that the proposed method achieves more balanced multimodal learning by avoiding greedy sample selection from the dominant modality.
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
Multimodal learning aims to imitate human beings to acquire complementary information from multiple modalities for various downstream tasks.
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
To this end, we propose Whisper, a realtime ML based malicious traffic detection system that achieves both high accuracy and high throughput by utilizing frequency domain features.
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
To save bandwidth and reduce RTT, VPaaS provides a new video streaming protocol that only sends low-quality video to the cloud.
Robust Attacks on Deep Learning Face Recognition in the Physical World
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems.
IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks
Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks.
Cryptography and Security
