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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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08/17/2023
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Recent years have witnessed the remarkable performance of diffusion mode...
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08/14/2023
Machine Unlearning: Solutions and Challenges
Machine learning models may inadvertently memorize sensitive, unauthoriz...
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07/23/2023
LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference
We propose a novel method, LoLep, which regresses Locally-Learned planes...
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07/11/2023
Neural Point-based Volumetric Avatar: Surface-guided Neural Points for Efficient and Photorealistic Volumetric Head Avatar
Rendering photorealistic and dynamically moving human heads is crucial f...
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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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06/16/2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
A computational workflow, also known as workflow, consists of tasks that...
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06/06/2023
Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process
Diffusion models have emerged as state-of-the-art deep generative archit...
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05/12/2023
Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity
Biological studies reveal that neural circuits located at the spinal cor...
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05/04/2023
IMAP: Intrinsically Motivated Adversarial Policy
Reinforcement learning (RL) agents are known to be vulnerable to evasion...
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04/09/2023
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
The vulnerability in the algorithm supply chain of deep learning has imp...
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04/08/2023
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement
Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation...
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03/24/2023
PeakNet: Bragg peak finding in X-ray crystallography experiments with U-Net
Serial crystallography at X-ray free electron laser (XFEL) sources has e...
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03/13/2023
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
This work presents an effective depth-consistency self-prompt Transforme...
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03/11/2023
Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning
Artificial intelligence (AI) has brought tremendous impacts on biomedica...
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03/01/2023
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
For deep ordinal classification, learning a well-structured feature spac...
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02/14/2023
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples
With X-ray free-electron lasers (XFELs), it is possible to determine the...
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01/19/2023
Forecasting subcritical cylinder wakes with Fourier Neural Operators
We apply Fourier neural operators (FNOs), a state-of-the-art operator le...
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11/28/2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Intrinsic motivation is a promising exploration technique for solving re...
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11/15/2022
Feedback Chain Network For Hippocampus Segmentation
The hippocampus plays a vital role in the diagnosis and treatment of man...
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11/10/2022
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker
Clone detection is widely exploited for software vulnerability search. T...
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10/31/2022
Lita: Accelerating Distributed Training of Sparsely Activated Models
Scaling model parameters usually improves model quality, but at the pric...
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10/20/2022
Proof of Unlearning: Definitions and Instantiation
The "Right to be Forgotten" rule in machine learning (ML) practice enabl...
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09/15/2022
SecSkyline: Fast Privacy-Preserving Skyline Queries over Encrypted Cloud Databases
The well-known benefits of cloud computing have spurred the popularity o...
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09/08/2022
OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service
In recent years there has been growing popularity of leveraging cloud co...
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07/27/2022
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Vision Transformers (ViTs) have recently dominated a range of computer v...
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07/17/2022
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
The spread of COVID-19 has brought a huge disaster to the world, and the...
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07/16/2022
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement
We propose an effective Structural Prior guided Generative Adversarial T...
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06/20/2022
Variational Distillation for Multi-View Learning
Information Bottleneck (IB) based multi-view learning provides an inform...
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05/07/2022
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation
Three-dimensional (3D) object recognition is crucial for intelligent aut...
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04/29/2022
Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
Energy is an essential, but often forgotten aspect in large-scale federa...
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04/16/2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Open intent classification is a practical yet challenging task in dialog...
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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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03/02/2022
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning
The essence of quadrupeds' movements is the movement of the center of gr...
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03/02/2022
A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control
Due to their ability to adapt to different terrains, quadruped robots ha...
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02/16/2022
Aryl: An Elastic Cluster Scheduler for Deep Learning
Companies build separate training and inference GPU clusters for deep le...
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02/14/2022
Online-updated High-order Collaborative Networks for Single Image Deraining
Single image deraining is an important and challenging task for some dow...
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02/04/2022
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
Federated learning has recently emerged as a paradigm promising the bene...
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01/23/2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy
Many real-world networks are inherently decentralized. For example, in s...
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12/06/2021
On the complexity of Dark Chinese Chess
This paper provides a complexity analysis for the game of dark Chinese c...
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12/06/2021
ED2: An Environment Dynamics Decomposition Framework for World Model Construction
Model-based reinforcement learning methods achieve significant sample ef...
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12/03/2021
Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays
The distributed convex optimization problem over the multi-agent system ...
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10/31/2021
Optimizing Secure Decision Tree Inference Outsourcing
Outsourcing decision tree inference services to the cloud is highly bene...
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10/19/2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Adversarial attacks against commercial black-box speech platforms, inclu...
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09/29/2021
Influence of the Binomial Crossover on Performance of Evolutionary Algorithms
In differential Evolution (DE) algorithms, a crossover operation filteri...
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09/14/2021
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
We present a novel self-supervised algorithm named MotionHint for monocu...
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08/25/2021
Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing
In recent years, single image dehazing models (SIDM) based on atmospheri...
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08/08/2021
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation
Explanation of AI, as well as fairness of algorithms' decisions and the ...
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06/23/2021
Teacher Model Fingerprinting Attacks Against Transfer Learning
Transfer learning has become a common solution to address training data ...
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06/15/2021
