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08/23/2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Differentially Private Federated Learning (DP-FL) has garnered attention...
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06/23/2023
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing
The release of differentially private streaming data has been extensivel...
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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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05/02/2023
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Using knowledge graphs to assist deep learning models in making recommen...
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04/20/2023
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase
Differentially private synthetic data is a promising alternative for sen...
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03/21/2023
E-MLB: Multilevel Benchmark for Event-Based Camera Denoising
Event cameras, such as dynamic vision sensors (DVS), are biologically in...
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03/18/2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Semantically coherent out-of-distribution (SCOOD) detection aims to disc...
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03/18/2023
Spatial-Aware Token for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is a challenging task aimin...
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03/18/2023
Grounding 3D Object Affordance from 2D Interactions in Images
Grounding 3D object affordance seeks to locate objects' ”action possibil...
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03/10/2023
Analyzing covariate clustering effects in healthcare cost subgroups: insights and applications for prediction
Healthcare cost prediction is a challenging task due to the high-dimensi...
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03/09/2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Human brains respond to semantic features of presented stimuli with diff...
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03/06/2023
Traffic Scene Parsing through the TSP6K Dataset
Traffic scene parsing is one of the most important tasks to achieve inte...
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01/30/2023
From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials
Open radio access network (ORAN) provides an open architecture to implem...
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01/13/2023
From Ember to Blaze: Swift Interactive Video Adaptation via Meta-Reinforcement Learning
Maximizing quality of experience (QoE) for interactive video streaming h...
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01/02/2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Nearest-Neighbor (NN) classification has been proven as a simple and eff...
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12/30/2022
Detecting Change Intervals with Isolation Distributional Kernel
Detecting abrupt changes in data distribution is one of the most signifi...
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12/20/2022
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Diagnostic radiologists need artificial intelligence (AI) for medical im...
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09/11/2022
Secure Shapley Value for Cross-Silo Federated Learning
The Shapley value (SV) is a fair and principled metric for contribution ...
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09/06/2022
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy
Publishing graph statistics under node differential privacy has attracte...
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08/31/2022
Application of Data Encryption in Chinese Named Entity Recognition
Recently, with the continuous development of deep learning, the performa...
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08/30/2022
Experimental Performance Evaluation of Cell-free Massive MIMO Systems Using COTS RRU with OTA Reciprocity Calibration and Phase Synchronization
Downlink coherent multiuser transmission is an essential technique for c...
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04/18/2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation
Privacy protection is an essential issue in personalized news recommenda...
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04/08/2022
Network Shuffling: Privacy Amplification via Random Walks
Recently, it is shown that shuffling can amplify the central differentia...
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03/24/2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
MLP-like models built entirely upon multi-layer perceptrons have recentl...
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03/18/2022
Location-Free Camouflage Generation Network
Camouflage is a common visual phenomenon, which refers to hiding the for...
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03/14/2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
How can we explore the unknown properties of high-dimensional sensitive ...
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03/12/2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Non-exemplar class-incremental learning is to recognize both the old and...
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02/24/2022
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
Affordance detection, which refers to perceiving objects with potential ...
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02/15/2022
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Differentially private federated learning (DP-FL) has received increasin...
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02/14/2022
Optimizing Random Mixup with Gaussian Differential Privacy
Differentially private data release receives rising attention in machine...
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02/08/2022
Self-Paced Imbalance Rectification for Class Incremental Learning
Exemplar-based class-incremental learning is to recognize new classes wh...
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12/01/2021
Background Activation Suppression for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to localize the object...
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09/08/2021
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization
While artificial neural networks (ANNs) have been widely adopted in mach...
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08/12/2021
Learning Visual Affordance Grounding from Demonstration Videos
Visual affordance grounding aims to segment all possible interaction reg...
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08/08/2021
One-Shot Object Affordance Detection in the Wild
Affordance detection refers to identifying the potential action possibil...
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07/27/2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Detection transformers have recently shown promising object detection re...
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07/19/2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning is to recognize the new classes give...
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06/28/2021
One-Shot Affordance Detection
Affordance detection refers to identifying the potential action possibil...
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06/13/2021
Understanding the Interplay between Privacy and Robustness in Federated Learning
Federated Learning (FL) is emerging as a promising paradigm of privacy-p...
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06/08/2021
Incentive Mechanism for Privacy-Preserving Federated Learning
Federated learning (FL) is an emerging paradigm for machine learning, in...
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05/04/2021
Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness
There is a growing trend regarding perceiving personal data as a commodi...
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04/14/2021
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism
Local differential privacy (LDP) has been received increasing attention ...
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03/30/2021
Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs
Controlling the False Discovery Rate (FDR) in a variable selection proce...
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03/24/2021
FakeMix Augmentation Improves Transparent Object Detection
Detecting transparent objects in natural scenes is challenging due to th...
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03/01/2021
Asymmetric Differential Privacy
Recently, differential privacy (DP) is getting attention as a privacy de...
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02/09/2021
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
Graph neural network (GNN) is widely used for recommendation to model hi...
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01/26/2021
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Federated Learning is a promising machine learning paradigm when multipl...
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12/24/2020
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
How to contain the spread of the COVID-19 virus is a major concern for m...
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12/07/2020
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
Existing Bluetooth-based Private Contact Tracing (PCT) systems can priva...
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10/26/2020