Padmaksha Roy

12 papers B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-directional Meta-Learning Framework for Class-Generalizable Anomaly Detection.
CoRR
Padmaksha Roy, Lamine Mili, Almuatazbellah Boker
2025 J jnl
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection.
CoRR
Padmaksha Roy, Almuatazbellah Boker, Lamine Mili
2025 J jnl
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection.
Trans. Mach. Learn. Res.
Padmaksha Roy, Almuatazbellah Boker, Lamine Mili
2025 — conf
Improving Novel Anomaly Detection with Domain-Invariant Latent Representations.
ECML/PKDD (1)
Padmaksha Roy, Ming Jin, Himanshu Singhal, Tyler Cody, Kevin Choi
2025 J jnl
Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks.
IEEE Internet Things J.
Tung-Wei Lin, Padmaksha Roy, Yi Zeng, Ming Jin, Ruoxi Jia, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli
2024 J jnl
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS.
CoRR
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
2024 — conf
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data.
PAKDD (1)
Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
2023 J jnl
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning.
CoRR
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner
2023 J jnl
Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity.
CoRR
Padmaksha Roy
2023 J jnl
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space.
CoRR
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
2021 B conf
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
ASONAM
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021 J jnl
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
CoRR
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu