Cargando…

Experimental demonstration of adversarial examples in learning topological phases

Classification and identification of different phases and the transitions between them is a central task in condensed matter physics. Machine learning, which has achieved dramatic success in a wide range of applications, holds the promise to bring unprecedented perspectives for this challenging task...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Huili, Jiang, Si, Wang, Xin, Zhang, Wengang, Huang, Xianzhi, Ouyang, Xiaolong, Yu, Yefei, Liu, Yanqing, Deng, Dong-Ling, Duan, L.-M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411630/ https://www.ncbi.nlm.nih.gov/pubmed/36008401 http://dx.doi.org/10.1038/s41467-022-32611-7

Ejemplares similares

Universal adversarial examples and perturbations for quantum classifiers
por: Gong, Weiyuan, et al.
Publicado: (2021)

Minimum Adversarial Examples
por: Du, Zhenyu, et al.
Publicado: (2022)

Adversarial example defense based on image reconstruction
por: Zhang, Yu(AUST), et al.
Publicado: (2021)

Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems
por: Zhang, Huan, et al.
Publicado: (2023)

Approaching Adversarial Example Classification with Chaos Theory
por: Pedraza, Anibal, et al.
Publicado: (2020)

Experimental demonstration of topological effects in bianisotropic metamaterials
por: Slobozhanyuk, Alexey P., et al.
Publicado: (2016)

The experimental demonstration of a topological current divider
por: Romeo, Francesco, et al.
Publicado: (2023)

Generating adversarial examples without specifying a target model
por: Yang, Gaoming, et al.
Publicado: (2021)

Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors
por: Kurniawan, Ade, et al.
Publicado: (2022)

Surreptitious Adversarial Examples through Functioning QR Code
por: Chindaudom, Aran, et al.
Publicado: (2022)

Clustering Approach for Detecting Multiple Types of Adversarial Examples
por: Choi, Seok-Hwan, et al.
Publicado: (2022)

Experimental demonstration of anomalous Floquet topological insulator for sound
por: Peng, Yu-Gui, et al.
Publicado: (2016)

Adversarial Machine Learning Protection Using the Example of Evasion Attacks on Medical Images
por: Rudnitskaya, E. A., et al.
Publicado: (2023)

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples
por: Mahmood, Kaleel, et al.
Publicado: (2021)

A Universal Detection Method for Adversarial Examples and Fake Images
por: Lai, Jiewei, et al.
Publicado: (2022)

Road Topology Refinement via a Multi-Conditional Generative Adversarial Network
por: Zhang, Yang, et al.
Publicado: (2019)

Experimental demonstration of acoustic semimetal with topologically charged nodal surface
por: Xiao, Meng, et al.
Publicado: (2020)

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems
por: Wang, Siyu, et al.
Publicado: (2022)

Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices
Publicado: (2020)

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model
por: Liu, Renyang, et al.
Publicado: (2023)

Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcement
por: Deka, Deepjyoti, et al.
Publicado: (2018)

Quantum Adversarial Transfer Learning
por: Wang, Longhan, et al.
Publicado: (2023)

Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing
por: Xie, Pengfei, et al.
Publicado: (2021)

Image Adversarial Example Generation Method Based on Adaptive Parameter Adjustable Differential Evolution
por: Lin, Zhiyi, et al.
Publicado: (2023)

Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution
por: Li, Shimiao, et al.
Publicado: (2023)

Preliminary demonstration of a persistent Josephson phase-slip memory cell with topological protection
por: Ligato, Nadia, et al.
Publicado: (2021)

Adversarial machine learning
por: Vorobeychik, Yevgeniy, et al.
Publicado: (2018)

Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
por: Zong, Wei, et al.
Publicado: (2022)

Quantum generative adversarial learning in a superconducting quantum circuit
por: Hu, Ling, et al.
Publicado: (2019)

Experimental demonstration of angular momentum-dependent topological transport using a transmission line network
por: Jiang, Tianshu, et al.
Publicado: (2019)

Experimental demonstration of conformal phased array antenna via transformation optics
por: Lei, Juan, et al.
Publicado: (2018)

Adversarial attacks and adversarial robustness in computational pathology
por: Ghaffari Laleh, Narmin, et al.
Publicado: (2022)

Adversarially Learning Occlusions by Backpropagation for Face Recognition
por: Zhao, Caijie, et al.
Publicado: (2023)

Criminal Defectors Lead to the Emergence of Cooperation in an Experimental, Adversarial Game
por: D'Orsogna, Maria R., et al.
Publicado: (2013)

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
por: Nandakumar, S. R., et al.
Publicado: (2020)

Demonstration of a quantized acoustic octupole topological insulator
por: Ni, Xiang, et al.
Publicado: (2020)

Bayesian Tests of Topology Hypotheses with an Example from Diving Beetles
por: Bergsten, Johannes, et al.
Publicado: (2013)

Evaluating the impact of topological protein features on the negative examples selection
por: Boldi, Paolo, et al.
Publicado: (2018)

The economic utility of non-oriented research demonstrated in the example of CERN
por: Schmied, Helwig
Publicado: (1973)

Experimental demonstration of a quantum router
por: Yuan, X. X., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_bjvpnjn93ril9ar1o8glfd8gcj