Publications

Journal Articles

1. A. Jayasena, E. Andrews, and P. Mishra,”TVLA*: Test Vector Leakage Assessment on Hardware Implementations of Asymmetric Cryptography Algorithms,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 9, pp. 1269–1279, Sep. 2023, doi: 10.1109/TVLSI.2023.3297027.

Conference Proceedings

1. E. Andrews, D. Bau, and J. Blanchard, “From Droplet to Lilypad: Present and Future of Dual-Modality Environments,” in 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Oct. 2021, pp. 1–2. doi: 10.1109/VL/HCC51201.2021.9576355.

Book Chapters

1. E. Andrews, Z. Pan, and P. Mishra, “Explainable Artificial Intelligence,” in Explainable AI for Cybersecurity, Springer, 2023, pp. 29–51.

Preprints and Other Publications

1. E. Andrews and P. Mishra, “Explainable Metric Learning for Deflating Data Bias.” SRC TECHCON, Sep. 2024.
2. Z. Pan, E. Andrews, L. Chang, and P. Mishra, “Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning.” arXiv, Apr. 19, 2024. doi: 10.48550/arXiv.2404.13194.
3. E. Andrews, Z. Pan, and P. Mishra, “Towards Accurate Measurement of Pretraining Bias.” SRC TECHCON, Sep. 2023.
4. K. Rani, E. Andrews, A. Jayasena and P. Mishra, “Defending Elliptic Curve Cryptography against Laser Fault injection Attacks”, GOMACTech Conference, San Diego, California, Mar. 20-23, 2023.