Quantum Adversarial Machine Learning: Status, Challenges and Perspectives
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[1] Danda B. Rawat,et al. Study of Adversarial Machine Learning with Infrared Examples for Surveillance Applications , 2020 .
[2] Shouvanik Chakrabarti,et al. Quantum Wasserstein Generative Adversarial Networks , 2019, NeurIPS.
[3] Tad Hogg,et al. Quantum-assisted associative adversarial network: applying quantum annealing in deep learning , 2019, Quantum Machine Intelligence.
[4] Thierry Paul,et al. Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.
[5] Hartmut Neven,et al. Classification with Quantum Neural Networks on Near Term Processors , 2018, 1802.06002.
[6] Simone Severini,et al. Hierarchical quantum classifiers , 2018, npj Quantum Information.
[7] Maria Schuld,et al. Quantum Machine Learning in Feature Hilbert Spaces. , 2018, Physical review letters.
[8] Tobias J. Osborne,et al. Training deep quantum neural networks , 2020, Nature Communications.
[9] Soonwon Choi,et al. Quantum convolutional neural networks , 2018, Nature Physics.
[10] LiChenliang,et al. Adversarial Attacks on Deep-learning Models in Natural Language Processing , 2020 .
[11] Kristan Temme,et al. Supervised learning with quantum-enhanced feature spaces , 2018, Nature.
[12] Qiang Xu,et al. Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks , 2018, AAAI.
[13] Stefan Woerner,et al. Quantum Generative Adversarial Networks for learning and loading random distributions , 2019, npj Quantum Information.
[14] Sirui Lu,et al. Quantum Adversarial Machine Learning , 2020, ArXiv.
[15] YaoChong Li,et al. A quantum deep convolutional neural network for image recognition , 2020, Quantum Science and Technology.
[16] M. Schuld,et al. Circuit-centric quantum classifiers , 2018, Physical Review A.
[17] Ekert,et al. Quantum cryptography based on Bell's theorem. , 1991, Physical review letters.
[18] E. Torrontegui,et al. Unitary quantum perceptron as efficient universal approximator , 2018, EPL (Europhysics Letters).
[19] Seth Lloyd,et al. Quantum embeddings for machine learning , 2020 .
[20] Iordanis Kerenidis,et al. Quantum Algorithms for Deep Convolutional Neural Networks , 2020, ICLR.
[21] P. Wittek,et al. Vulnerability of quantum classification to adversarial perturbations , 2019, Physical Review A.
[22] John Preskill,et al. Quantum Computing in the NISQ era and beyond , 2018, Quantum.
[23] Keisuke Fujii,et al. Quantum circuit learning , 2018, Physical Review A.
[24] Jerzy Dajka,et al. Distance between quantum states in the presence of initial qubit-environment correlations: A comparative study , 2011, 1107.1732.
[25] Seth Lloyd,et al. Continuous-variable quantum neural networks , 2018, Physical Review Research.
[26] Shu-Hao Wu,et al. Quantum generative adversarial learning in a superconducting quantum circuit , 2018, Science Advances.
[27] P. A. M. Casares,et al. A quantum active learning algorithm for sampling against adversarial attacks , 2019, New Journal of Physics.
[28] Pan He,et al. Adversarial Examples: Attacks and Defenses for Deep Learning , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[29] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[30] S. Lloyd,et al. Quantum algorithms for supervised and unsupervised machine learning , 2013, 1307.0411.
[31] Tongliang Liu,et al. Quantum noise protects quantum classifiers against adversaries , 2020, ArXiv.
[32] Dmytro Bondarenko,et al. Quantum Autoencoders to Denoise Quantum Data. , 2020, Physical review letters.
[33] J. Cirac,et al. Goals and opportunities in quantum simulation , 2012, Nature Physics.
[34] Seth Lloyd,et al. Quantum Generative Adversarial Learning. , 2018, Physical review letters.
[35] David A. Wagner,et al. Audio Adversarial Examples: Targeted Attacks on Speech-to-Text , 2018, 2018 IEEE Security and Privacy Workshops (SPW).
[36] Tom Goldstein,et al. Are adversarial examples inevitable? , 2018, ICLR.
[37] Rupak Biswas,et al. Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers , 2017, Quantum Science and Technology.
[38] Elvis Dohmatob,et al. Generalized No Free Lunch Theorem for Adversarial Robustness , 2018, ICML.
[39] Alan Aspuru-Guzik,et al. Variational Quantum Generators: Generative Adversarial Quantum Machine Learning for Continuous Distributions , 2019, Advanced Quantum Technologies.
[40] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[41] Dirk Englund,et al. Quantum optical neural networks , 2018, npj Quantum Information.