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07/14/2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World
Physical adversarial attacks against deep neural networks (DNNs) have re...
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07/13/2023
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations
Deep neural networks have proven to be vulnerable to adversarial attacks...
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05/12/2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
Neural architecture search (NAS) has emerged as one successful technique...
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04/20/2023
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications
Wide deployment of deep neural networks (DNNs) based applications (e.g.,...
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02/20/2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator
Perception of the full state is an essential technology to support the m...
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09/28/2022
A Survey on Physical Adversarial Attack in Computer Vision
In the past decade, deep learning has dramatically changed the tradition...
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08/15/2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design
The phenomenon of adversarial examples has been revealed in variant scen...
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05/16/2022
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate and Multimodal Neighborhood Search Algorithm
In satellite layout design, heat source layout optimization (HSLO) is an...
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04/04/2022
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems
In using the Bayesian network (BN) to construct the complex multistate s...
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03/08/2022
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation
Few-shot segmentation enables the model to recognize unseen classes with...
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03/07/2022
Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation
Neural architecture search (NAS) could help search for robust network ar...
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12/16/2021
Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning
In this paper we demonstrate that reservoir computing can be used to lea...
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09/26/2021
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Recently, surrogate models based on deep learning have attracted much at...
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09/15/2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
Physical adversarial attacks in object detection have attracted increasi...
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08/17/2021
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems
Temperature field reconstruction of heat source systems (TFR-HSS) with l...
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07/09/2021
IDRLnet: A Physics-Informed Neural Network Library
Physics Informed Neural Network (PINN) is a scientific computing framewo...
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03/20/2021
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
Thermal issue is of great importance during layout design of heat source...
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12/10/2020
Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
Autonomous flight for UAVs relies on visual information for avoiding obs...
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01/29/2020