1 citations · 1 across the 8 of their papers we have counts for
9 papers
Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
Yang Li, Chenyu Wang, Tingrui Wang +4
Black-box adversarial attacks remain challenging due to limited access to model internals. Existing methods often depend on specific network architectures or require numerous queri…
SSD: A State-based Stealthy Backdoor Attack For Navigation System in UAV Route Planning
Zhaoxuan Wang, Yang Li, Jie Zhang +6
Unmanned aerial vehicles (UAVs) are increasingly employed to perform high-risk tasks that require minimal human intervention. However, UAVs face escalating cybersecurity threats, p…
Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches
Chenxing Zhao, Yang Li, Shihao Wu +3
Adversarial attacks against monocular depth estimation (MDE) systems pose significant challenges, particularly in safety-critical applications such as autonomous driving. Existing…
Flexible Physical Camouflage Generation Based on a Differential Approach
Yang Li, Wenyi Tan, Tingrui Wang +2
This study introduces a novel approach to neural rendering, specifically tailored for adversarial camouflage, within an extensive 3D rendering framework. Our method, named FPA, goe…
PGN: A perturbation generation network against deep reinforcement learning
Xiangjuan Li, Feifan Li, Yang Li +1
Deep reinforcement learning has advanced greatly and applied in many areas. In this paper, we explore the vulnerability of deep reinforcement learning by proposing a novel generati…
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation
Wenyi Tan, Yang Li, Chenxing Zhao +2
Object detection is a fundamental task in various applications ranging from autonomous driving to intelligent security systems. However, recognition of a person can be hindered whe…
Network Security in the Industrial Control System: A Survey
Yang Li, Shihao Wu, Quan Pan
Along with the development of intelligent manufacturing, especially with the high connectivity of the industrial control system (ICS), the network security of ICS becomes more impo…
A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu +2
Deep convolutional neural network has made great achievements in sea-land clutter classification for over-the-horizon-radar (OTHR). The premise is that a large number of labeled tr…
Deep-Attack over the Deep Reinforcement Learning
Yang Li, Quan Pan, Erik Cambria
Recent adversarial attack developments have made reinforcement learning more vulnerable, and different approaches exist to deploy attacks against it, where the key is how to choose…