Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
Authors: Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryouse, Mohammad Saidur Rahman | Published: 2025-11-19
Quantum Machine Learning
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
Authors: William Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2024-01-15
Towards an in-depth detection of malware using distributed QCNN
Authors: Tony Quertier, Grégoire Barrué | Published: 2023-12-19
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Authors: Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu | Published: 2023-12-18 | Updated: 2024-03-07
Privacy-preserving quantum federated learning via gradient hiding
Authors: Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia | Published: 2023-12-07
Demystifying Quantum Blockchain for Healthcare
Authors: Keshav Kaushik, Adarsh Kumar | Published: 2022-10-07
Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses
Authors: Satwik Kundu, Swaroop Ghosh | Published: 2022-04-07
Quantum machine learning with differential privacy
Authors: William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2021-03-10
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Authors: Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao | Published: 2020-09-21 | Updated: 2021-05-26
Hardening Quantum Machine Learning Against Adversaries
Authors: Nathan Wiebe, Ram Shankar Siva Kumar | Published: 2017-11-17