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09/09/2023
A Data Middleware for Obtaining Trusted Price Data for Blockchain
As a trusted middleware connecting the blockchain and the real world, th...
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09/03/2023
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions
Many of our critical infrastructure systems and personal computing syste...
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08/14/2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Humans have the ability to reuse previously learned policies to solve ne...
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08/10/2023
Double-chain Constraints for 3D Human Pose Estimation in Images and Videos
Reconstructing 3D poses from 2D poses lacking depth information is parti...
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07/24/2023
ChatGPT for Software Security: Exploring the Strengths and Limitations of ChatGPT in the Security Applications
ChatGPT, as a versatile large language model, has demonstrated remarkabl...
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07/21/2023
Sensing Aided Covert Communications: Turning Interference into Allies
In this paper, we investigate the realization of covert communication in...
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07/12/2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
Membership inference (MI) attacks threaten user privacy through determin...
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07/10/2023
FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless Communication Networks
With the rapid proliferation of Internet of Things (IoT) devices and the...
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06/14/2023
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation
Semi-supervised learning (SSL) methods, which can leverage a large amoun...
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05/08/2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
In reinforcement learning, unsupervised skill discovery aims to learn di...
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04/26/2023
Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography
Purpose: Middle ear infection is the most prevalent inflammatory disease...
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04/17/2023
An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts
Smart contracts are crucial elements of decentralized technologies, but ...
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03/21/2023
Indeterminate Probability Neural Network
We propose a new general model called IPNN - Indeterminate Probability N...
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03/11/2023
Approaching Shannon's One-Time Pad: Metrics, Architectures, and Enabling Technologies
The rapid development of advanced computing technologies such as quantum...
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02/07/2023
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems
The emergency of Pre-trained Language Models (PLMs) has achieved tremend...
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01/20/2023
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
The Bidirectional Encoder Representations from Transformers (BERT) were ...
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12/23/2022
Recommending on Graphs: A Comprehensive Review from Data Perspective
Recent advances in graph-based learning approaches have demonstrated the...
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12/08/2022
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
Engineers and scientists have been collecting and analyzing fatigue data...
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12/02/2022
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications
In this paper, we investigate the design of a burst jamming detection me...
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11/11/2022
Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense
As cache-based side-channel attacks become serious security problems, va...
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10/24/2022
IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities
Multi-agent reinforcement learning(MARL) is a prevalent learning paradig...
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09/10/2022
OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training
Advancing object detection to open-vocabulary and few-shot transfer has ...
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08/16/2022
What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation
Emulating firmware of microcontrollers is challenging due to the lack of...
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08/10/2022
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Three-dimensional (3D) integrated renal structures (IRS) segmentation is...
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07/29/2022
Robust IRS-aided Secrecy Transmission with Location Optimization
In this paper, we propose a robust secrecy transmission scheme for intel...
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07/07/2022
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
We consider the problem of autonomous channel access (AutoCA), where a g...
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06/12/2022
RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis
Encryption ransomware has become a notorious malware. It encrypts user d...
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05/24/2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification
Deep neural networks generally perform poorly with datasets that suffer ...
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05/19/2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
The ever-growing model size and scale of compute have attracted increasi...
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05/05/2022
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
Open-domain conversational systems are assumed to generate equally good ...
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04/08/2022
Temporal and spatial evolution of power-law in the numbers of COVID-19 pandemic
This work systematically conducts a data analysis based on the numbers o...
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02/23/2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Offline Reinforcement Learning (RL) aims to learn policies from previous...
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01/20/2022
Bayesian Nonparametric Mixtures of Exponential Random Graph Models for Ensembles of Networks
Ensembles of networks arise in various fields where multiple independent...
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01/04/2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Deep neural networks (DNNs) are threatened by adversarial examples. Adve...
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12/21/2021
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix
In the context of multi-modality knowledge distillation research, the ex...
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12/10/2021
Association study between gene expression and multiple phenotypes in omics applications of complex diseases
Studying phenotype-gene association can uncover mechanism of diseases an...
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11/28/2021
A Comprehensive and Cross-Platform Test Suite for Memory Safety – Towards an Open Framework for Testing Processor Hardware Supported Security Extensions
Memory safety remains a critical and widely violated property in reality...
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10/20/2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Exploration methods based on pseudo-count of transitions or curiosity of...
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10/07/2021
MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection
Head detection in real-world videos is an important research topic in co...
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10/05/2021
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation
The diversity of retinal imaging devices poses a significant challenge: ...
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09/30/2021
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
VAE, or variational auto-encoder, compresses data into latent attributes...
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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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09/24/2021
Finding Taint-Style Vulnerabilities in Linux-based Embedded Firmware with SSE-based Alias Analysis
Although the importance of using static analysis to detect taint-style v...
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09/14/2021
Exploration in Deep Reinforcement Learning: A Comprehensive Survey
Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Lea...
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08/27/2021
Identifying Non-Control Security-Critical Data in Program Binaries with a Deep Neural Model
As control-flow protection methods get widely deployed it is difficult f...
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08/03/2021
Bayesian spectral density approach for identification and uncertainty quantification of bridge section's flutter derivatives operated in turbulent flow
This study presents a Bayesian spectral density approach for identificat...
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07/28/2021
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodrom...
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07/19/2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Deep neural networks (DNNs) are under threat from adversarial example at...
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07/16/2021
Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version)
Emulating firmware for microcontrollers is challenging due to the tight ...
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06/18/2021