Provable Robustness of (Graph) Neural Networks Against Data Poisoning
and Backdoor Attacks

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks

15 July 2024

Mahalakshmi Sabanayagam

D. Ghoshdastidar

Stephan Günnemann

Papers citing "Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks"

7 / 7 papers shown

Title
Diffusion Denoising as a Certified Defense against Clean-label Poisoning Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 32 3 0 18 Mar 2024
Understanding Certified Training with Interval Bound Propagation Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 41 14 0 17 Jun 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 90 124 0 01 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 61 21 0 01 May 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 24 13 0 08 Sep 2022
On Collective Robustness of Bagging Against Data Poisoning Ruoxin Chen Zenan Li Jie Li Chentao Wu Junchi Yan 42 23 0 26 May 2022
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 100 151 0 23 Jul 2018