Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions

27 June 2023

Stephan Günnemann

Papers citing "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions"

22 / 22 papers shown

Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Yoonhyuk Choi Chong-Kwon Kim 39 0 0 13 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Qingming Huang DiffM 45 0 0 02 May 2025
Robust Conformal Prediction with a Single Binary Certificate Soroush H. Zargarbashi Aleksandar Bojchevski 39 0 0 07 Mar 2025
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective Simon Geisler Tom Wollschlager M. H. I. Abdalla Vincent Cohen-Addad Johannes Gasteiger Stephan Günnemann AAML 88 2 0 24 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 45 0 0 28 Jan 2025
LLMPirate: LLMs for Black-box Hardware IP Piracy Vasudev Gohil Matthew DeLorenzo Veera Vishwa Achuta Sai Venkat Nallam Joey See Jeyavijayan Rajendran 72 3 0 25 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 38 1 0 19 Oct 2024
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? Zhongjian Zhang Xiao Wang Huichi Zhou Yue Yu Mengmei Zhang Cheng Yang Chuan Shi AAML 48 7 0 16 Aug 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 52 1 0 16 Jul 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 43 0 0 10 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 45 1 0 04 Jun 2024
Collective Certified Robustness against Graph Injection Attacks Y. Lai Bailin Pan Kaihuang Chen Yancheng Yuan Kai Zhou AAML 45 2 0 03 Mar 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 40 3 0 21 Feb 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
$Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks$ Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks Ege Erdogan Simon Geisler Stephan Günnemann AAML 32 0 0 09 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 46 6 0 07 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 41 2 0 29 Nov 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 41 5 0 24 Oct 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi Lukas Gosch Thomas Wollschläger Yan Scholten Stephan Günnemann AAML 62 2 0 16 Aug 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 72 22 0 01 May 2023
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Fei Huang 33 5 0 31 Jan 2022
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 103 153 0 23 Jul 2018