On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning

20 February 2021

Chuang Gan

Papers citing "On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning"

23 / 23 papers shown

Title
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 36 3 0 30 Oct 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 44 1 0 26 Jul 2024
Deep Adversarial Defense Against Multilevel-Lp Attacks Ren Wang Yuxuan Li Alfred Hero AAML 11 0 0 12 Jul 2024
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning Suyi Li Chenyi Jiang Shidong Wang Yang Long Zheng Zhang Haofeng Zhang CoGe 34 0 0 21 Jun 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou Xiaobo Xia Zhiwei Lin Bo Han Tongliang Liu VLM 39 10 0 21 Mar 2024
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 19 9 0 01 Oct 2023
$Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks$ Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks Ren Wang Yuxuan Li Sijia Liu AAML 21 0 0 17 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 30 31 0 18 Feb 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao-Li Li Wei Emma Zhang Yining Liu Zhan Hu Bo-Wen Zhang Xiaolin Hu 28 8 0 30 Jan 2023
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 29 2 0 28 Nov 2022
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 24 0 0 19 Oct 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 38 32 0 12 Oct 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 21 78 0 08 Jun 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 37 5 0 19 May 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 21 6 0 11 Apr 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 44 16 0 15 Feb 2022
How and When Adversarial Robustness Transfers in Knowledge Distillation? Rulin Shao Ming Zhou C. Bezemer Cho-Jui Hsieh AAML 19 17 0 22 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 19 80 0 01 Oct 2021
Deep Adversarially-Enhanced k-Nearest Neighbors Ren Wang Tianqi Chen Alfred Hero 19 0 0 15 Aug 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks F. Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 16 7 0 22 Jun 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 27 10 0 15 Feb 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017