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. 2405.16036
  4. Cited By
Certifying Adapters: Enabling and Enhancing the Certification of
  Classifier Adversarial Robustness

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness

25 May 2024
Jieren Deng
Hanbin Hong
A. Palmer
Xin Zhou
Jinbo Bi
Kaleel Mahmood
Yuan Hong
Derek Aguiar
    AAML
ArXivPDFHTML

Papers citing "Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness"

3 / 3 papers shown
Title
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image
  Diagnosis
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
Yitao Zhu
Zhenrong Shen
Zihao Zhao
Sheng Wang
Xin Wang
Xiangyu Zhao
Dinggang Shen
Qian Wang
MedIm
32
28
0
14 Nov 2023
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
187
410
0
16 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
1