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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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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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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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02/14/2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction
For the temperature field reconstruction (TFR), a complex image-to-image...
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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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07/15/2021
