Sabanayagam, Mahalakshmi

9 publications

ICLR 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

ICLRW 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

TMLR 2025 Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann

NeurIPSW 2024 Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann

TMLR 2024 Robust Feature Inference: A Test-Time Defense Strategy Using Spectral Projections Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar

TMLR 2023 Analysis of Convolutions, Non-Linearity and Depth in Graph Neural Networks Using Neural Tangent Kernel Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar

AISTATS 2023 Improved Representation Learning Through Tensorized Autoencoders Pascal Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar

NeurIPSW 2023 Unveiling the Hessian's Connection to the Decision Boundary Mahalakshmi Sabanayagam, Freya Behrens, Urte Adomaityte, Anna Dawid

ICLR 2022 Graphon Based Clustering and Testing of Networks: Algorithms and Theory Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar