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

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

Neural Information Processing Systems (NeurIPS), 2023
5 January 2023
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
    AAML
ArXiv (abs)PDFHTMLGithub

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

12 / 12 papers shown
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
Minghao Liu
Chia-Hsuan Lu
Marta Kwiatkowska
AAML
244
2
0
12 Aug 2025
Adversarial Robustness of Graph Transformers
Adversarial Robustness of Graph Transformers
Philipp Foth
Lukas Gosch
Simon Geisler
Leo Schwinn
Stephan Günnemann
AAMLOOD
367
2
0
16 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
Debarghya Ghoshdastidar
Stephan Günnemann
AAML
640
6
0
15 Jul 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to
  Node Feature Attacks
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAMLOOD
291
14
0
27 Apr 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
620
28
0
11 Mar 2024
Collective Certified Robustness against Graph Injection Attacks
Collective Certified Robustness against Graph Injection Attacks
Y. Lai
Bailin Pan
Kaihuang Chen
Yancheng Yuan
Wei Song
AAML
258
4
0
03 Mar 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
AAML
367
4
0
19 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection
  Attacks
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Y. Lai
Yulin Zhu
Bailin Pan
Wei Song
AAML
441
11
0
07 Dec 2023
Hierarchical Randomized Smoothing
Hierarchical Randomized SmoothingNeural Information Processing Systems (NeurIPS), 2023
Yan Scholten
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
599
9
0
24 Oct 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and
  New Directions
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New DirectionsNeural Information Processing Systems (NeurIPS), 2023
Lukas Gosch
Simon Geisler
Daniel Sturm
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
AAMLGNN
289
49
0
27 Jun 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers
  via Randomized Deletion
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized DeletionNeural Information Processing Systems (NeurIPS), 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
489
20
0
31 Jan 2023
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing CertificatesNeural Information Processing Systems (NeurIPS), 2022
Jan Schuchardt
Stephan Günnemann
AAML
281
8
0
25 Nov 2022
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