Mahalakshmi Sabanayagam

19 papers A* 2A 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 A* conf
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
ICLR
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar
2025 J jnl
Generalization Certificates for Adversarially Robust Bayesian Linear Regression.
CoRR
Mahalakshmi Sabanayagam, Russell Tsuchida, Cheng Soon Ong, Debarghya Ghoshdastidar
2025 J jnl
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
Trans. Mach. Learn. Res.
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
2025 J jnl
Robustness Certificates for Neural Networks against Adversarial Attacks.
CoRR
Sara Taheri, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Majid Zamani
2025 J jnl
Why does your graph neural network fail on some graphs? Insights from exact generalisation error.
CoRR
Nil Ayday, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
2024 J jnl
Cluster Specific Representation Learning.
CoRR
Mahalakshmi Sabanayagam, Omar Al-Dabooni, Pascal Mattia Esser
2024 J jnl
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
CoRR
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar
2024 J jnl
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
CoRR
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
2024 J jnl
Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections.
Trans. Mach. Learn. Res.
Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar
2023 J jnl
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel.
Trans. Mach. Learn. Res.
Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar
2023 J jnl
Fast Adaptive Test-Time Defense with Robust Features.
CoRR
Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar
2023 A conf
Improved Representation Learning Through Tensorized Autoencoders.
AISTATS
Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
2023 J jnl
Kernels, Data & Physics.
CoRR
Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe
2023 J jnl
Unveiling the Hessian's Connection to the Decision Boundary.
CoRR
Mahalakshmi Sabanayagam, Freya Behrens, Urte Adomaityte, Anna Dawid
2022 A* conf
Graphon based Clustering and Testing of Networks: Algorithms and Theory.
ICLR
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2022 J jnl
Improved Representation Learning Through Tensorized Autoencoders.
CoRR
Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
2022 J jnl
Representation Power of Graph Convolutions : Neural Tangent Kernel Analysis.
CoRR
Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar
2021 J jnl
Graphon based Clustering and Testing of Networks: Algorithms and Theory.
CoRR
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2021 J jnl
New Insights into Graph Convolutional Networks using Neural Tangent Kernels.
CoRR
Mahalakshmi Sabanayagam, Pascal Mattia Esser, Debarghya Ghoshdastidar