Publications

* Equal contribution

• Exact Certification of (Graph) Neural Networks Against Label Poisoning [arxiv]
  Mahalakshmi Sabanayagam*, Lukas Gosch*, Stephan Günnemann, Debarghya Ghoshdastidar
  International Conference on Learning Representations (ICLR) 2025 Top 5.1%, Spotlight
  

• Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoors [arxiv] [code]
  Lukas Gosch*, Mahalakshmi Sabanayagam*, Debarghya Ghoshdastidar, Stephan Günnemann
  New Frontiers of Adversarial Machine Learning Workshop, NeurIPS (AdvML-Frontiers NeurIPS) 2024 Oral, Best Paper Award

• Kernels, Data & Physics [arxiv]
  Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe
  Journal of Statistical Mechanics: Theory and Experiment (JSTAT Lecture Notes) 2024

• Robust Features Inference: A Test-time Defense using Spectral Projections [arxiv] [poster] [code]
  Anurag Singh*, Mahalakshmi Sabanayagam*, Krikamol Muandet, Debarghya Ghoshdastidar
  Transactions on Machine Learning Research (TMLR) 2024

• Unveiling the Hessian’s Connection to the Decision Boundary [arxiv] [poster] [code]
  Mahalakshmi Sabanayagam, Freya Behrens, Urte Adomaityte, Anna Dawid
  Mathematics of Modern Machine Learning Workshop, NeurIPS (M3L NeurIPS) 2023

• Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel [arxiv] [poster] [code]
  Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar
  Transactions on Machine Learning Research (TMLR) 2023
  Learning on Graphs (LoG) Meetup at Munich 2023

• Improved Representation Learning Through Tensorized Autoencoders [arxiv] [poster] [code]
  Pascal Esser*, Satyaki Mukherjee*, Mahalakshmi Sabanayagam*, Debarghya Ghoshdastidar
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2023

• Analysis of Graph Convolutional Networks using Neural Tangent Kernels [arxiv] [code]
  Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar
  MLG workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022)

• Graphon based Clustering and Testing of Networks: Algorithms and Theory [arxiv] [poster] [code]
  Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
  International Conference on Learning Representations (ICLR) 2022

• Rough Set-based Feature Selection for Credit Risk Prediction using Weight Adjusted Boosting Ensemble Method [springer]
  Sivasankar Elango, Selvi Chandran, Mahalakshmi Sabanayagam
  Journal of Soft Computing 2019

• Cross Domain Sentiment Analysis Using Different Machine Learning Techniques [springer]
  Mahalakshmi Sabanayagam, Sivasankar Elango
  Fifth International Conference on Fuzzy and Neuro Computing (FANCCO) 2015
  Poster in Grace Hopper Celebration India (GHCI) 2016

Preprints

• Generalization Certificates for Adversarially Robust Bayesian Linear Regression [arxiv]
  Mahalakshmi Sabanayagam, Russell Tsuchida, Cheng Soon Ong, Debarghya Ghoshdastidar
  

• Cluster Specific Representation Learning [arxiv]
  Mahalakshmi Sabanayagam, Omar Al-Dabooni, Pascal Esser
  

• Machine learning-based image detection for lensless microscopy in life science [link]
  Mahalakshmi Sabanayagam, Jan Brunckhorst, Andreas Pirchner, Nikhitha Radhakrishna Naik