Universal adversarial perturbations for multiple classification tasks
with quantum classifiers

v1v2v3 (latest)

Universal adversarial perturbations for multiple classification tasks with quantum classifiers

21 June 2023

ArXiv (abs)PDF HTML

Papers citing "Universal adversarial perturbations for multiple classification tasks with quantum classifiers"

18 / 18 papers shown

Title
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 68 439 0 16 Mar 2023
Quantum Neural Network Classifiers: A Tutorial Weikang Li Zhide Lu D. Deng 37 35 0 06 Jun 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 78 92 0 04 Apr 2022
Quantum advantage in learning from experiments Hsin-Yuan Huang Michael Broughton Jordan S. Cotler Sitan Chen Jingkai Li ... Hartmut Neven Ryan Babbush R. Kueng J. Preskill Jarrod R. McClean 58 485 0 01 Dec 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 72 87 0 30 Aug 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 71 25 0 15 Feb 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 99 305 0 28 Oct 2020
Recurrent Quantum Neural Networks Johannes Bausch 68 155 0 25 Jun 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 65 112 0 20 Mar 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 83 102 0 31 Dec 2019
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent Frederik Kunstner Lukas Balles Philipp Hennig 88 219 0 29 May 2019
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 90 1,887 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
A Tutorial on Fisher Information A. Ly M. Marsman J. Verhagen R. Grasman E. Wagenmakers 80 258 0 02 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,572 0 02 Dec 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 154 2,533 0 26 Oct 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Fast simulation of truncated Gaussian distributions Nicolas Chopin 72 138 0 30 Jan 2012