PRQAI: Towards Privacy and Robustness in Quantum Artificial Intelligence

Call for Papers

We invite original submissions on quantum AI with privacy-preserving and/or robustness/security focus, including distributed and federated QAI. Accepted papers will be published in the IEEE proceedings.

Topics of interest include (but are not limited to):

• Multi-QPU and networked QML: orchestration, scheduling, and resource/cost models for learning workloads.

• Privacy-preserving quantum AI: leakage analysis, privacy accounting, confidential collaboration, secure delegation patterns.

• Robustness and security: adversarial examples, poisoning/backdoors, trojaned circuits/parameters, defenses and detection.

• Verification/validation and benchmarking for trustworthy quantum AI; reproducibility and artifact-driven evaluation.

• Application case studies in privacy-sensitive domains (healthcare, finance, telecom/networks, mobility, cybersecurity).

• Privacy-critical applications of quantum AI, including secure content analysis, digital safety monitoring, and investigative analytics in highly sensitive environments.

Submission Instructions

Submission Format:

• Template: https://www.ieee.org/conferences/publishing/templates

• Each paper is limited to four pages, including references.

• Each technical paper must conform at the time of submission to the IEEE Formatting Instructions (i.e., title in 24pt font and full text in 10pt type, LaTEX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option), including the proper two-column format, authors' names, affiliations, and their email or ORCID. The submission must also comply with the IEEE Policy on Authorship, including the AI policy. 

Submission Procedure:

• Submission Link: https://easychair.org/my/conference?conf=qce26

• New Submission => Select track 'QCE26 Workshop on PRQAI: Towards Privacy and Robustness in Quantum Artificial Intelligence'

Deadlines and Timeline

• Workshop Paper Abstract Deadline: June 22, 2026 (A.o.E.)

• Full Workshop Paper Submission Deadline: June 29, 2026 (A.o.E.)

• Workshop Paper Acceptance Notification: July 20, 2026 (A.o.E.)

• Workshop Paper Author Registration: July 27, 2026 (A.o.E.)

• Final Workshop Paper Proceedings Submission Deadline: July 27, 2026 (A.o.E.)

• Workshop Day: September 15, 2026

Invited Speakers

Workshop Program: Tue, September 15, 2026

Workshop Chair: Dr. Walid El Maouaki, Research Team Lead at eBRAIN Lab, New York University Abu Dhabi, UAE.

Session 1 (10:00 - 11:30):

• 10:00 - 10:10 Opening Remarks

• 10:10 - 10:40 Invited Talk #1: Jakub Szefer. Hardware Security for Protecting Quantum Machine Learning Computations

• 10:45 - 11:00 Shih-Hao Ho, Yan Li, Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen and Shinjae Yoo. Quasi-polar decomposition of Quantum Neural Networks via Adaptive Non-local Observables

• 11:00 - 11:15 Flavjo Xhelollari, Juntao Chen and Tao Li. Transferable Certified Robustness for Hybrid Quantum–Classical Machine Learning

• 11:15 - 11:30 Patrick Indri. Structure-Aligned Quantum Noise for Differentially Private Quantum Graph Learning

Session 2 (13:00  - 14:30):

• 13:05 - 13:35 Invited Talk #2: Dinh Nguyen. Towards Privacy Preservation in Distributed Quantum Machine Learning

• 13:45 - 14:00 Farah Elnakhal, Alberto Marchisio, Nouhaila Innan, Gabriel Falcao and Muhammad Shafique. PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks

• 14:00 - 14:15 Chun Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu, Kuo Chung Peng, Jiun-Cheng Jiang, Chi-Sheng Chen, Tai-Yue Li, Nan-Yow Chen, En-Jui Kuo and Hsi-Sheng Goan. Federated Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Biosignal Processing

• 14:15 - 14:30 Epameinondas Douros, Konstantinos Dalampekis, Nouhaila Innan, Ioannis Theodonis and Muhammad Shafique. QuantumChain: Blockchain-Backed Quantum Federated Learning for Financial Fraud Detection

Session 3 (15:00 - 16:30):

• 15:00 - 15:30 Invited Talk #3: Shin Nishio. Emerging Privacy Challenges for Decoders in Fault-Tolerant Quantum Computing

• 15:35 - 15:50 Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Yan Mong Chan, Tzu-Chieh Wei and Shinjae Yoo. Observable Geometry for Effective Quantum Circuits

• 15:50 - 16:05 Harmandeep Kaur. QML-RobustBench: A Reproducible Benchmark for Noise and Adversarial Robustness of Variational Quantum Classifiers in Privacy-Sensitive Deployments

• 16:05 - 16:20 Devesh Kumar, Praful Hambarde and S.K. Pal. Twin-Field QKD Attack Detection Using Deep and Quantum Sequence Models Under Domain Shift

• 16:20 - 16:30 Closing Remarks

• Dr. Alberto Marchisio, Research Team Lead at eBRAIN Lab, New York University Abu Dhabi, UAE.

• Dr. Samuel Yen-Chi Chen, Lead Research Scientist at Wells Fargo Bank, USA.

• Dr. Antonello Rosato, Assistant Professor at Sapienza University of Rome, Italy.

• Dr. Fan Chen, Assistant Professor at Indiana University Bloomington, USA.

• Dr. Juntao Chen, Assistant Professor at Fordham University, USA.