Sabanayagam, Mahalakshmi;Tsuchida, Russell;Ong, Cheng Soon;Ghoshdastidar, Debarghya
Generalization Certificates for Adversarially Robust Bayesian Linear Regression
arXiv preprint
2025
abs/2502.14298

Sabanayagam, Mahalakshmi;Gosch, Lukas;Günnemann, Stephan;Ghoshdastidar, Debarghya
Exact Certification of (Graph) Neural Networks Against Label Poisoning
The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025
OpenReview.net
2025

Kaufmann, Valentin;Esser, Pascal Mattia;Zhu, Bing;Ghoshdastidar, Debarghya
Self-supervised learning approaches to improve residential housing energy prediction accuracy
Georg Nemetschek Institute Symposium & Expo on Artificial Intelligence for the Built World, Munich, September 10-12, 2024
2024

Gosch, Lukas;Sabanayagam, Mahalakshmi;Ghoshdastidar, Debarghya;Günnemann, Stephan
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
The Third New Frontiers in Adversarial Machine Learning (AdvML@NeurIPS2024), Vancouver, December 14, 2024
2024

Gosch, Lukas;Sabanayagam, Mahalakshmi;Ghoshdastidar, Debarghya;Günnemann, Stephan
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Trans. Mach. Learn. Res.
2025
2025