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2103.06232
Cited By
Quantum machine learning with differential privacy
Scientific Reports (Sci Rep), 2021
10 March 2021
William Watkins
Samuel Yen-Chi Chen
Shinjae Yoo
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Papers citing
"Quantum machine learning with differential privacy"
28 / 28 papers shown
QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
Yu-Chao Hsu
Jiun-Cheng Jiang
Chun-Hua Lin
Kuo-Chung Peng
Nan-Yow Chen
Samuel Yen-Chi Chen
En-Jui Kuo
Hsi-Sheng Goan
291
1
0
04 Dec 2025
DyLoC: A Dual-Layer Architecture for Secure and Trainable Quantum Machine Learning Under Polynomial-DLA constraint
Chenyi Zhang
Tao Shang
Chao Guo
Ruohan He
84
0
0
30 Nov 2025
Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
Saeefa Rubaiyet Nowmi
Jesus Lopez
Md Mahmudul Alam Imon
Shahrooz Pouryouse
Mohammad Saidur Rahman
AAML
623
0
0
19 Nov 2025
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Andrea Testa
Søren Hauberg
Tamim Asfour
Leonel Rozo
239
4
0
10 Nov 2025
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak
Jungwon Seo
Umit Cali
136
1
0
04 Nov 2025
Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
Duc-Thien Phan
Minh-Duong Nguyen
Quoc-Viet Pham
Huilong Pi
FedML
138
2
0
04 Sep 2025
Adversarial Robustness in Distributed Quantum Machine Learning
Pouya Kananian
Hans-Arno Jacobsen
OOD
AAML
180
0
0
16 Aug 2025
Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
Chi-Sheng Chen
Samuel Yen-Chi Chen
AI4TS
234
1
0
07 Aug 2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu
Jason Fisher
Hung Du
611
3
0
30 May 2025
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
455
2
0
17 Apr 2025
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
Quantum Machine Intelligence (QMI), 2025
M. Nadim
Mohammad Hassan
Ashis Kumar Mandal
C. Roy
B. Roy
Kevin A. Schneider
333
7
0
08 Jan 2025
Differential Privacy Preserving Distributed Quantum Computing
Hui Zhong
Keyi Ju
Jiachen Shen
Xinyue Zhang
Xiaoqi Qin
Ohtsuki Tomoaki
Miao Pan
Zhu Han
335
0
0
16 Dec 2024
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Theshani Nuradha
Mark M. Wilde
303
11
0
26 Jun 2024
Maximal
α
α
α
-Leakage for Quantum Privacy Mechanisms
Bo-Yu Yang
Hsuan Yu
Hao-Chung Cheng
266
0
0
21 Mar 2024
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy
International Conference on Quantum Computing and Engineering (QCE), 2024
Yusheng Zhao
Hui Zhong
Xinyue Zhang
Yuqing Li
Chi Zhang
Miao Pan
317
6
0
14 Mar 2024
Barycentric and Pairwise Renyi Quantum Leakage
Farhad Farokhi
282
2
0
09 Feb 2024
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
William Watkins
Heehwan Wang
Sang-Peel Bae
Huan-Hsin Tseng
Jiook Cha
Samuel Yen-Chi Chen
Shinjae Yoo
164
3
0
15 Jan 2024
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Keyi Ju
Xiaoqi Qin
Hui Zhong
Xinyue Zhang
Miao Pan
Baoling Liu
218
9
0
18 Dec 2023
Quantum Federated Learning With Quantum Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tyler Wang
Huan-Hsin Tseng
Shinjae Yoo
330
26
0
23 Oct 2023
Federated Quantum Machine Learning with Differential Privacy
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Rod Rofougaran
Shinjae Yoo
Huan-Hsin Tseng
Samuel Yen-Chi Chen
FedML
258
42
0
10 Oct 2023
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
International Conference on Quantum Computing and Engineering (QCE), 2023
Florian J. Kiwit
M. Marso
Philipp Ross
Carlos A. Riofrío
Johannes Klepsch
André Luckow
309
11
0
08 Aug 2023
A unifying framework for differentially private quantum algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
FedML
336
17
0
10 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Physical Review Applied (Phys. Rev. Appl.), 2023
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
547
60
0
03 Jul 2023
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Theshani Nuradha
Ziv Goldfeld
Mark M. Wilde
292
29
0
22 Jun 2023
Privacy Against Hypothesis-Testing Adversaries for Quantum Computing
F. Farokhi
185
2
0
24 Feb 2023
Shot-frugal and Robust quantum kernel classifiers
Abhay Shastry
Abhijith Jayakumar
Apoorva D. Patel
Chiranjib Bhattacharyya
355
1
0
13 Oct 2022
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Shuyue Stella Li
Xiangyu Zhang
Shu Zhou
Hongchao Shu
Ruixing Liang
Hexin Liu
Leibny Paola García
430
38
0
06 Oct 2022
Quantum Differential Privacy: An Information Theory Perspective
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
C. Hirche
Cambyse Rouzé
Daniel Stilck França
438
105
0
22 Feb 2022
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