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Exploring Adversarial Fake Images on Face Manifold
Images synthesized by powerful generative adversarial network (GAN) base...
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A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
In this paper, we first present an arc based algorithm for fan-beam comp...
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Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network
This paper investigates a machine learning-based power allocation design...
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Detecting Colluding Sybil Attackers in Robotic Networks using Backscatters
Due to the openness of wireless medium, robotic networks that consist of...
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Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Reducing feature redundancy has shown beneficial effects for improving t...
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MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
The following work presents a new algorithm for character recognition fr...
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A Note on Graph-Based Nearest Neighbor Search
Nearest neighbor search has found numerous applications in machine learn...
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InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction
Distant supervision makes it possible to automatically label bags of sen...
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Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
There has been a steady need in the medical community to precisely extra...
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Peer-to-Peer Localization for Single-Antenna Devices
Some important indoor localization applications, such as localizing a lo...
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Long Term Motion Prediction Using Keyposes
Long term human motion prediction is an essential component in safety-cr...
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Sequential Resource Access: Theory and Algorithm
We formulate and analyze a generic sequential resource access problem ar...
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SAR-Net: A End-to-End Deep Speech Accent Recognition Network
This paper proposes a end-to-end deep network to recognize kinds of acce...
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MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Pose-guided person image generation usually involves using paired source...
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Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Many real-world systems, such as moving planets, can be considered as mu...
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Joint Energy Harvest and Information Transfer for Energy Beamforming in Backscatter Multiuser Networks
Wirelessly powered backscatter communication (WPBC) has been identified ...
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VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation
Recent studies about learning multilingual representations have achieved...
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Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation
In recent studies, Generative Adversarial Network (GAN) is one of the po...
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Long Document Ranking with Query-Directed Sparse Transformer
The computing cost of transformer self-attention often necessitates brea...
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A Distributional Robustness Certificate by Randomized Smoothing
The robustness of deep neural networks against adversarial example attac...
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"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
The home voice assistants such as Amazon Alexa have become increasingly ...
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Preventing Personal Data Theft in Images with Adversarial ML
Facial recognition tools are becoming exceptionally accurate in identify...
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From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Federated learning is an improved version of distributed machine learnin...
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Consistency and Coherency Enhanced Story Generation
Story generation is a challenging task, which demands to maintain consis...
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Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
We propose to solve the natural language inference problem without any s...
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Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Over the past decade, multivariate time series classification (MTSC) has...
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Motion Prediction Using Temporal Inception Module
Human motion prediction is a necessary component for many applications i...
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StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Generating responses following a desired style has great potentials to e...
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Distributed ADMM with Synergetic Communication and Computation
In this paper, we propose a novel distributed alternating direction meth...
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GraphCrop: Subgraph Cropping for Graph Classification
We present a new method to regularize graph neural networks (GNNs) for b...
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A Two-stage Game Framework to Secure Transmission in Two-Tier UAV Networks
The multi-UAV network is promising to extend conventional networks by pr...
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Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
Intelligent reflecting surface (IRS) offers a cost effective solution to...
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A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps
Authorship identification is the process of identifying and classifying ...
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Stereo Plane SLAM Based on Intersecting Lines
Plane feature is a kind of stable landmark to reduce drift error in SLAM...
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Improving adversarial robustness of deep neural networks by using semantic information
The vulnerability of deep neural networks (DNNs) to adversarial attack, ...
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Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
In the online advertising industry, the process of designing an ad creat...
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Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention
The major challenge in audio-visual event localization task lies in how ...
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A model-guided deep network for limited-angle computed tomography
In this paper, we first propose a variational model for the limited-angl...
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Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
In this paper we address the problem of unsupervised gaze correction in ...
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Improving Smart Conference Participation through Socially-Aware Recommendation
This research addresses recommending presentation sessions at smart conf...
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Socially-Aware Conference Participant Recommendation with Personality Traits
As a result of the importance of academic collaboration at smart confere...
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Using UNet and PSPNet to explore the reusability principle of CNN parameters
How to reduce the requirement on training dataset size is a hot topic in...
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Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network
Convolutional neural network(CNN) has achieved great success in many fie...
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More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Artificial Intelligence (AI) has attracted a great deal of attention in ...
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An Electrocommunication System Using FSK Modulation and Deep Learning Based Demodulation for Underwater Robots
Underwater communication is extremely challenging for small underwater r...
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Distributed Motion Control for Multiple Connected Surface Vessels
We propose a scalable cooperative control approach which coordinates a g...
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Roboat II: A Novel Autonomous Surface Vessel for Urban Environments
This paper presents a novel autonomous surface vessel (ASV), called Robo...
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A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
We propose a novel receding horizon planner for an autonomous surface ve...
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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
We consider the problem of semi-supervised 3D action recognition which h...
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Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Volt-VAR control (VVC) is a critical application in active distribution ...
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