Enhancing Quantum Adversarial Robustness by Randomized Encodings

Enhancing Quantum Adversarial Robustness by Randomized Encodings

5 December 2022

Papers citing "Enhancing Quantum Adversarial Robustness by Randomized Encodings"

18 / 18 papers shown

Title
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 87 0 0 17 Apr 2025
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 69 90 0 04 Apr 2022
Quantum Differential Privacy: An Information Theory Perspective C. Hirche Cambyse Rouzé Daniel Stilck França 55 63 0 22 Feb 2022
Equivalence of quantum barren plateaus to cost concentration and narrow gorges A. Arrasmith Zoë Holmes M. Cerezo Patrick J. Coles 38 143 0 12 Apr 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 73 85 0 15 Mar 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 58 23 0 15 Feb 2021
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus Chen Zhao Xiao-Shan Gao 34 88 0 03 Feb 2021
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 55 630 0 03 Nov 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 215 661 0 28 Jul 2020
Trainability of Dissipative Perceptron-Based Quantum Neural Networks Kunal Sharma M. Cerezo L. Cincio Patrick J. Coles GNN 41 147 0 26 May 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 45 240 0 03 Mar 2020
Machine Learning Phase Transitions with a Quantum Processor Alexey Uvarov A. Kardashin Jacob Biamonte 23 63 0 24 Jun 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 104 2,018 0 08 Feb 2019
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 54 676 0 28 Sep 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 67 1,172 0 17 May 2018
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 86 1,050 0 06 Nov 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 450 3,124 0 04 Nov 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013