Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution

Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution

There exist various attack strategies in continuous-variable quantum key distribution (CVQKD) system in practice. Due to the powerful information processing ability of neural networks, they are applied to the detection and classification of attack strategies in CVQKD systems. However, neural network...

Full description

Bibliographic Details
Main Authors:	Shimiao Li, Pengzhi Yin, Zehao Zhou, Jianheng Tang, Duan Huang, Ling Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Entropy
Subjects:	CVQKD adversarial attack sparse defense locality preserving projects
Online Access:	https://www.mdpi.com/1099-4300/25/3/499

Similar Items

Adversarial Perturbation Elimination with GAN Based Defense in Continuous-Variable Quantum Key Distribution Systems
by: Xun Tang, et al.
Published: (2023-05-01)

Secure Continuous-Variable Quantum Key Distribution with Machine Learning
by: Duan Huang, et al.
Published: (2021-11-01)

Adversarial Attack Defense Method for a Continuous-Variable Quantum Key Distribution System Based on Kernel Robust Manifold Non-Negative Matrix Factorization
by: Yuwen Fu, et al.
Published: (2023-09-01)

Low-Rate Denial-of-Service Attack Detection: Defense Strategy Based on Spectral Estimation for CV-QKD
by: Enze Dai, et al.
Published: (2022-05-01)

Adversarial attacks and defenses in deep learning
by: LIU Ximeng, et al.
Published: (2020-10-01)

DDSA: A Defense Against Adversarial Attacks Using Deep Denoising Sparse Autoencoder
by: Yassine Bakhti, et al.
Published: (2019-01-01)

DefenseFea: An Input Transformation Feature Searching Algorithm Based Latent Space for Adversarial Defense
by: Pan Zhang, et al.
Published: (2024-02-01)

A Mask-Based Adversarial Defense Scheme
by: Weizhen Xu, et al.
Published: (2022-12-01)

Square-Based Black-Box Adversarial Attack on Time Series Classification Using Simulated Annealing and Post-Processing-Based Defense
by: Sichen Liu, et al.
Published: (2024-02-01)

Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey
by: Hao Tan, et al.
Published: (2022-07-01)

Securing DNN for smart vehicles: an overview of adversarial attacks, defenses, and frameworks
by: Suzan Almutairi, et al.
Published: (2023-03-01)

One-Pixel Attack for Continuous-Variable Quantum Key Distribution Systems
by: Yushen Guo, et al.
Published: (2023-01-01)

Review of Artificial Intelligence Adversarial Attack and Defense Technologies
by: Shilin Qiu, et al.
Published: (2019-03-01)

Adversarial Attack and Defense on Deep Neural Network-Based Voice Processing Systems: An Overview
by: Xiaojiao Chen, et al.
Published: (2021-09-01)

Adversarial Attack and Defense: A Survey
by: Hongshuo Liang, et al.
Published: (2022-04-01)

Adversarial attack and defense in reinforcement learning-from AI security view
by: Tong Chen, et al.
Published: (2019-03-01)

Besting the Black-Box: Barrier Zones for Adversarial Example Defense
by: Kaleel Mahmood, et al.
Published: (2022-01-01)

Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey
by: Naveed Akhtar, et al.
Published: (2021-01-01)

Adversarial Attack and Defense in Breast Cancer Deep Learning Systems
by: Yang Li, et al.
Published: (2023-08-01)

Towards the universal defense for query-based audio adversarial attacks on speech recognition system
by: Feng Guo, et al.
Published: (2023-08-01)

Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos
by: Hwan Heo, et al.
Published: (2021-01-01)

Adversarial Attack Using Sparse Representation of Feature Maps
by: Maham Jahangir, et al.
Published: (2022-01-01)

Adversarial attack and defense on graph neural networks: a survey
by: CHEN Jinyin, et al.
Published: (2021-06-01)

Adversarial Dual Network Learning With Randomized Image Transform for Restoring Attacked Images
by: Jianhe Yuan, et al.
Published: (2020-01-01)

Multi-Attack Detection: General Defense Strategy Based on Neural Networks for CV-QKD
by: Hongwei Du, et al.
Published: (2022-03-01)

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense
by: Gladys W. Muoka, et al.
Published: (2023-10-01)

Defense against adversarial attacks in traffic sign images identification based on 5G
by: Fei Wu, et al.
Published: (2020-09-01)

Survey of Image Adversarial Example Defense Techniques
by: LIU Ruiqi, LI Hu, WANG Dongxia, ZHAO Chongyang, LI Boyu
Published: (2023-12-01)

A Robust CycleGAN-L2 Defense Method for Speaker Recognition System
by: Lingyi Yang, et al.
Published: (2023-01-01)

You Can’t Fool All the Models: Detect Adversarial Samples via Pruning Models
by: Renxuan Wang, et al.
Published: (2021-01-01)

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks
by: Jiahuan Zhang, et al.
Published: (2022-07-01)

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
by: Jianfeng Yu, et al.
Published: (2023-07-01)

Hadamard’s Defense Against Adversarial Examples
by: Angello Hoyos, et al.
Published: (2021-01-01)

Multiontology Construction and Application of Threat Model Based on Adversarial Attack and Defense Under ISO/IEC 27032
by: Xuan Hu, et al.
Published: (2022-01-01)

Novel defense based on softmax activation transformation
by: Jinyin CHEN, et al.
Published: (2022-04-01)

ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
by: Ren Wang, et al.
Published: (2022-01-01)

Defending Adversarial Attacks against DNN Image Classification Models by a Noise-Fusion Method
by: Lin Shi, et al.
Published: (2022-06-01)

Survey of Research Progress on Adversarial Examples in Images
by: CHEN Meng-xuan, ZHANG Zhen-yong, JI Shou-ling, WEI Gui-yi, SHAO Jun
Published: (2022-02-01)

DE-JSMA: a sparse adversarial attack algorithm for SAR-ATR models
by: JIN Xiaying, et al.
Published: (2023-12-01)

Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation
by: Olga Taran, et al.
Published: (2020-06-01)