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09/13/2023
Scalable Scheduling for Industrial Time-Sensitive Networking: A Hyper-flow Graph Based Scheme
Industrial Time-Sensitive Networking (TSN) provides deterministic mechan...
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09/09/2023
Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric Encryption
Dynamic searchable symmetric encryption (DSSE) enables a server to effic...
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06/29/2023
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores
Numerous studies have underscored the significant privacy risks associat...
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06/28/2023
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Diffusion models have showcased their remarkable capability to synthesiz...
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05/21/2023
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy
Feature selection (FS) plays an important role in machine learning, whic...
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05/17/2023
Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective
This paper investigates the differences in data organization between con...
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03/12/2023
Mitigating the Effect of Class Imbalance in Fault Localization Using Context-aware Generative Adversarial Network
Fault localization (FL) analyzes the execution information of a test sui...
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11/30/2022
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
Graphic sketch representations are effective for representing sketches. ...
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09/20/2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data
Performing neural network inference on encrypted data without decryption...
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05/02/2022
Local Differential Privacy Meets Computational Social Choice – Resilience under Voter Deletion
The resilience of a voting system has been a central topic in computatio...
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05/02/2022
HatCUP: Hybrid Analysis and Attention based Just-In-Time Comment Updating
When changing code, developers sometimes neglect updating the related co...
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04/11/2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
Prompt-based learning paradigm bridges the gap between pre-training and ...
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04/05/2022
Sufficient Reasons for A Zero-Day Intrusion Detection Artificial Immune System
The Internet is the most complex machine humankind has ever built, and h...
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03/24/2022
IA-FaceS: A Bidirectional Method for Semantic Face Editing
Semantic face editing has achieved substantial progress in recent years....
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03/20/2022
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking
As robots play an increasingly important role in the industrial, the exp...
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03/14/2022
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
In Machine Learning, the emergence of the right to be forgotten gave bir...
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08/03/2021
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
Current face recognition tasks are usually carried out on high-quality f...
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06/25/2021
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
Machine learning (ML) methods are ubiquitous in wireless communication s...
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04/25/2021
Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
Rain streaks bring serious blurring and visual quality degradation, whic...
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04/17/2021
Attacking Text Classifiers via Sentence Rewriting Sampler
Most adversarial attack methods on text classification are designed to c...
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03/25/2021
The Cost of OSCORE and EDHOC for Constrained Devices
Many modern IoT applications rely on the Constrained Application Protoco...
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02/09/2021
PyART: Python API Recommendation in Real-Time
API recommendation in real-time is challenging for dynamic languages lik...
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01/14/2021
EDSC: An Event-Driven Smart Contract Platform
This paper presents EDSC, a novel smart contract platform design based o...
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10/22/2020
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
Most adversarial attack methods that are designed to deceive a text clas...
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10/21/2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities
Automated machine learning (AutoML) is essentially automating the proces...
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07/30/2020
Black-box Adversarial Sample Generation Based on Differential Evolution
Deep Neural Networks (DNNs) are being used in various daily tasks such a...
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07/06/2020
Computational Complexity Characterization of Protecting Elections from Bribery
The bribery problem in election has received considerable attention in t...
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06/18/2020
Prioritizing documentation effort: Can we do better?
Code documentations are essential for software quality assurance, but du...
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05/14/2020
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network
We present a self-learning approach that combines deep reinforcement lea...
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04/08/2020
Saliency-based Weighted Multi-label Linear Discriminant Analysis
In this paper, we propose a new variant of Linear Discriminant Analysis ...
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02/02/2020
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
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01/22/2020
Nonlinear Blockchain Scalability: a Game-Theoretic Perspective
Recent advances in the blockchain research have been made in two importa...
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09/14/2019
Private and Atomic Exchange of Assets over Zero Knowledge Based Payment Ledger
Bitcoin brings a new type of digital currency that does not rely on a ce...
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09/03/2019
Robust Invisible Video Watermarking with Attention
The goal of video watermarking is to embed a message within a video file...
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08/07/2019
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks
Searchable symmetric encryption (SSE) for multi-owner model draws much a...
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08/07/2019
Multi-client Secure Encrypted Search Using Searching Adversarial Networks
With the rapid development of cloud computing, searchable encryption for...
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07/01/2019
Modeling Tabular data using Conditional GAN
Modeling the probability distribution of rows in tabular data and genera...
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06/28/2019
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Most automation in machine learning focuses on model selection and hyper...
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04/12/2019
Revisit Lmser and its further development based on convolutional layers
Proposed in 1991, Least Mean Square Error Reconstruction for self-organi...
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01/12/2019
SteganoGAN: High Capacity Image Steganography with GANs
Image steganography is a procedure for hiding messages inside pictures. ...
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01/07/2019
A* Tree Search for Portfolio Management
We propose a planning-based method to teach an agent to manage portfolio...
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11/27/2018
Synthesizing Tabular Data using Generative Adversarial Networks
Generative adversarial networks (GANs) implicitly learn the probability ...
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11/21/2018
Computational Decomposition of Style for Controllable and Enhanced Style Transfer
Neural style transfer has been demonstrated to be powerful in creating a...
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11/12/2018
Efficient Public Blockchain Client for Lightweight Users
Public blockchains provide a decentralized method for storing transactio...
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11/07/2018
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Bribery in election (or computational social choice in general) is an im...
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07/29/2018
TREVERSE: Trial-and-Error Lightweight Secure Reverse Authentication with Simulatable PUFs
A physical unclonable function (PUF) generates hardware intrinsic volati...
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05/19/2018
Lightweight (Reverse) Fuzzy Extractor with Multiple Referenced PUF Responses
The physical unclonable function (PUF), alike fingerprint of human being...
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05/09/2018
On the Graver basis of block-structured integer programming
We consider the 4-block n-fold integer programming (IP), in which the co...
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02/19/2018
Weighted Linear Discriminant Analysis based on Class Saliency Information
In this paper, we propose a new variant of Linear Discriminant Analysis ...
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09/13/2017