research
∙
07/24/2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Practical object detection application can lose its effectiveness on ima...
share
research
∙
06/06/2023
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
A novel learning solution to image steganalysis based on the green learn...
research
∙
05/26/2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
It is widely reported that deep generative models can classify out-of-di...
research
∙
04/13/2023
Non-Orthogonal Multiplexing in the FBL Regime Enhances Physical Layer Security with Deception
We propose a new security framework for physical layer security (PLS) in...
research
∙
03/30/2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Recent studies have shown that higher accuracy on ImageNet usually leads...
research
∙
03/28/2023
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
In a transfer-based attack against Automatic Speech Recognition (ASR) sy...
research
∙
03/21/2023
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems
With the development of deep learning technology, the facial manipulatio...
research
∙
03/07/2023
Trade Reliability for Security: Leakage-Failure Probability Minimization for Machine-Type Communications in URLLC
How to provide information security while fulfilling ultra reliability a...
research
∙
12/07/2022
Dynamic Multi-Hop HARQ Scheme to Maximize E2E Reliability in the Finite Blocklength Regime
The extreme requirements for high reliability and low latency in Beyond-...
research
∙
11/30/2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Out-Of-Distribution (OOD) detection has received broad attention over th...
research
∙
10/20/2022
Low-Latency Hybrid NOMA-TDMA: QoS-Driven Design Framework
Enabling ultra-reliable and low-latency communication services while pro...
research
∙
10/09/2022
Boosting Out-of-distribution Detection with Typical Features
Out-of-distribution (OOD) detection is a critical task for ensuring the ...
research
∙
09/29/2022
Joint Convexity of Error Probability in Blocklength and Transmit Power in the Finite Blocklength Regime
To support ultra-reliable and low-latency services for mission-critical ...
research
∙
09/16/2022
Enhance the Visual Representation via Discrete Adversarial Training
Adversarial Training (AT), which is commonly accepted as one of the most...
research
∙
11/24/2021
Time-Energy-Constrained Closed-Loop FBL Communication for Dependable MEC
The deployment of multi-access edge computing (MEC) is paving the way to...
research
∙
11/07/2021
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
A novel method for detecting CNN-generated images, called Attentive Pixe...
research
∙
08/20/2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Recently, some works found an interesting phenomenon that adversarially ...
research
∙
05/20/2021
CLARQ: A Dynamic ARQ Solution for Ultra-high Closed-loop Reliability
Emerging wireless control applications demand for extremely high closed-...
research
∙
12/15/2020
Relation-Aware Neighborhood Matching Model for Entity Alignment
Entity alignment which aims at linking entities with the same meaning fr...
research
∙
10/14/2020
Fairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge
It is becoming increasingly clear that an important task for wireless ne...
research
∙
02/10/2020
Robustness Analysis of Networked Control Systems with Aging Status
As an emerging metric of communication systems, Age of Information (AoI)...
research
∙
10/30/2019
Finite Blocklength Allocation towards Robust Age-of-Information Optimization
As an emerging metric for the timeliness of information delivery, Age-of...
research
∙
09/26/2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Incompleteness is a common problem for existing knowledge graphs (KGs), ...
research
∙
07/05/2019
Optimal Blocklength Allocation towards Reduced Age of Information in Wireless Sensor Networks
The freshness or timeliness of data at server is a significant key perfo...
research
∙
11/11/2018
An Interpretable Generative Model for Handwritten Digit Image Synthesis
An interpretable generative model for handwritten digits synthesis is pr...
research
∙
04/18/2012
