Emma Andrews

According to our database, Emma Andrews authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Controlled Steering-Based State Preparation for Adversarial-Robust Quantum Machine Learning.

Sahan Sanjaya, Hari Krishna Parvatham, Emma Andrews, Prabhat Mishra

CoRR, May, 2026

Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks.

Emma Andrews, Nahyeon Kim, Prabhat Mishra

CoRR, May, 2026

Efficient Mutation Testing of Quantum Machine Learning Models.

Emma Andrews, Prabhat Mishra

CoRR, May, 2026

Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders.

Emma Andrews, Sahan Sanjaya, Prabhat Mishra

CoRR, April, 2026

Accelerating Machine Learning Applications through Optimized Tensor Decompositions.

Emma Andrews, Prabhat Mishra

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

Semantic-Guided Test Generation using Fine-Tuned LLMs for Validation of Hardware Accelerators.

Emma Andrews, Aruna Jayasena, Prabhat Mishra

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

2025

Quantum Masked Autoencoders for Vision Learning.

Emma Andrews, Prabhat Mishra

CoRR, November, 2025

2024

Explainable Metric Learning for Deflating Data Bias.

Emma Andrews, Prabhat Mishra

CoRR, 2024

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning.

Zhixin Pan, Emma Andrews, Laura Chang, Prabhat Mishra

CoRR, 2024

2023

TVLA*: Test Vector Leakage Assessment on Hardware Implementations of Asymmetric Cryptography Algorithms.

Aruna Jayasena, Emma Andrews, Prabhat Mishra

IEEE Trans. Very Large Scale Integr. Syst., September, 2023

2021

From Droplet to Lilypad: Present and Future of Dual-Modality Environments.

Emma Andrews, David Bau, Jeremiah J. Blanchard

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2021