Generalization of Neural Combinatorial Solvers Through the Lens of
Adversarial Robustness

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness

21 October 2021

Aleksandar Bojchevski

Stephan Günnemann

Papers citing "Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness"

8 / 8 papers shown

Title
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 68 6 0 05 Feb 2025
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 70 6 0 01 Jun 2024
Attacking Large Language Models with Projected Gradient Descent Simon Geisler Tom Wollschlager M. H. I. Abdalla Johannes Gasteiger Stephan Günnemann AAML SILM 49 50 0 14 Feb 2024
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 72 21 0 01 May 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 38 121 0 16 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 27 35 0 31 Jan 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 56 0 31 Jan 2023
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 275 0 03 Dec 2018