ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.12990
  4. Cited By
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners

23 November 2022
E. T. Oldewage
J. Bronskill
Richard Turner
ArXivPDFHTML

Papers citing "Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners"

5 / 5 papers shown
Title
Learning to Obstruct Few-Shot Image Classification over Restricted
  Classes
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng
Chiao-An Yang
Raymond A. Yeh
35
1
0
28 Sep 2024
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep
  Receviers
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
Kunze Wu
Weiheng Jiang
Dusit Niyato
Yinghuan Li
Chuang Luo
AAML
39
0
0
04 Sep 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of
  Foundation Models
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
47
1
0
12 Apr 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
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
296
39,217
0
01 Sep 2014
1