On enhancing the robustness of Vision Transformers: Defensive Diffusion

14 May 2023

Papers citing "On enhancing the robustness of Vision Transformers: Defensive Diffusion"

7 / 7 papers shown

Title
FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging Mohammed Talha Alam Raza Imam Mohsen Guizani Fakhri Karray 28 2 0 22 May 2024
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 26 1 0 15 Aug 2023
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models Raza Imam Mohammed Talha Alam 11 2 0 13 Aug 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Jiong Wang Weili Nie Mingyan D. Liu Anima Anandkumar Bo-wen Li D. Song DiffM 30 33 0 01 Nov 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 190 410 0 16 May 2022
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021