Padmaksha Roy

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Anomaly Detection

Invariant Representation

Top Venues

Publications

Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) (2024)
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
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS. CoRR (2024)
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning. CoRR (2023)
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR (2023)
Padmaksha Roy
Deep Correlation-Aware Kernelized Autoencoders for Anomaly Detection in Cybersecurity. CoRR (2023)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM (2021)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR (2021)