Hierarchical Randomized Smoothing

Hierarchical Randomized Smoothing

24 October 2023

Aleksandar Bojchevski

Stephan Günnemann

Papers citing "Hierarchical Randomized Smoothing"

8 / 8 papers shown

Title
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 47 0 0 03 Apr 2025
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 30 3 0 15 Jul 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space Leo Schwinn David Dobre Sophie Xhonneux Gauthier Gidel Stephan Gunnemann AAML 47 36 0 14 Feb 2024
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 31 5 0 07 Dec 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 61 21 0 01 May 2023
Localized Randomized Smoothing for Collective Robustness Certification Jan Schuchardt Thomas Wollschläger Aleksandar Bojchevski Stephan Günnemann AAML 48 9 0 28 Oct 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models Wen-Hsuan Chu Linyi Li Bo-wen Li 3DPC 26 13 0 30 Jan 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 167 268 0 28 Sep 2021