A Simple Approach to Adversarial Robustness in Few-shot Image Classification

11 April 2022

Papers citing "A Simple Approach to Adversarial Robustness in Few-shot Image Classification"

7 / 7 papers shown

Title
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou Xiaobo Xia Zhiwei Lin Bo Han Tongliang Liu VLM 42 12 0 21 Mar 2024
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 31 6 0 13 Apr 2023
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 27 2 0 03 Nov 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 324 0 16 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 413 11,715 0 09 Mar 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,842 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,238 0 01 Sep 2014