Padmaksha Roy

According to our database, Padmaksha Roy authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

A Multi-directional Meta-Learning Framework for Class-Generalizable Anomaly Detection.

Padmaksha Roy, Lamine Mili, Almuatazbellah Boker

CoRR, January, 2026

2025

Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection.

Padmaksha Roy, Almuatazbellah Boker, Lamine Mili

Trans. Mach. Learn. Res., 2025

Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks.

Tung-Wei Lin, Padmaksha Roy, Yi Zeng, Ming Jin, Ruoxi Jia, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli

IEEE Internet Things J., 2025

Improving Novel Anomaly Detection with Domain-Invariant Latent Representations.

Padmaksha Roy, Ming Jin, Himanshu Singhal, Tyler Cody, Kevin Choi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS.

Zain ul Abdeen, Padmaksha Roy, Ahmad Al-Tawaha, Rouxi Jia, Laura J. Freeman, Peter A. Beling, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli, Ming Jin

CoRR, 2024

Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data.

Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space.

Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin

CoRR, 2023

A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning.

Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner

CoRR, 2023

Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity.

Padmaksha Roy

CoRR, 2023

2021

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.

Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021