Part-Based Models Improve Adversarial Robustness

15 September 2022

Papers citing "Part-Based Models Improve Adversarial Robustness"

6 / 6 papers shown

Title
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 57 0 0 13 Feb 2025
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 34 3 0 15 Jul 2024
Subobject-level Image Tokenization Delong Chen Samuel Cahyawijaya Jianfeng Liu Baoyuan Wang Pascale Fung VLM OCL 46 6 0 22 Feb 2024
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 14 11 0 06 Sep 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Rearchitecting Classification Frameworks For Increased Robustness Varun Chandrasekaran Brian Tang Nicolas Papernot Kassem Fawaz S. Jha Xi Wu AAML OOD 17 8 0 26 May 2019