Adversarial Attacks on Foundational Vision Models

28 August 2023

Papers citing "Adversarial Attacks on Foundational Vision Models"

6 / 6 papers shown

Title
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 57 21 0 07 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 23 6 0 06 Oct 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 131 6 0 09 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 141 83 0 21 Mar 2020