Randomized Message-Interception Smoothing: Gray-box Certificates for
Graph Neural Networks

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks

5 January 2023

Aleksandar Bojchevski

Stephan Günnemann

Papers citing "Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks"

10 / 10 papers shown

Title
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 37 1 0 16 Jul 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 24 6 0 27 Apr 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 46 8 0 11 Mar 2024
Collective Certified Robustness against Graph Injection Attacks Y. Lai Bailin Pan Kaihuang Chen Yancheng Yuan Kai Zhou AAML 27 2 0 03 Mar 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 19 4 0 19 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 25 5 0 07 Dec 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 31 4 0 24 Oct 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch Simon Geisler Daniel Sturm Bertrand Charpentier Daniel Zügner Stephan Günnemann AAML GNN 6 26 0 27 Jun 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 15 14 0 31 Jan 2023
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 21 5 0 25 Nov 2022