Generating Adversarial Examples with Graph Neural Networks

30 May 2021

Papers citing "Generating Adversarial Examples with Graph Neural Networks"

6 / 6 papers shown

Title
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 29 46 0 10 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 44 63 0 30 Jan 2023
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System Zongming Lin Thomas Pike Mark M. Bailey Nathaniel D. Bastian OOD 16 2 0 08 Nov 2022
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results Stanley Bak Changliu Liu Taylor T. Johnson NAI 17 112 0 31 Aug 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016