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BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt
  Learning

BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

14 August 2024
Asif Hanif
Fahad Shamshad
Muhammad Awais
Muzammal Naseer
F. Khan
Karthik Nandakumar
Salman Khan
Rao Muhammad Anwer
    MedIm
    AAML
ArXivPDFHTML

Papers citing "BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning"

5 / 5 papers shown
Title
Noise is an Efficient Learner for Zero-Shot Vision-Language Models
Raza Imam
Asif Hanif
Jian Zhang
Khaled Waleed Dawoud
Yova Kementchedjhieva
Mohammad Yaqub
VLM
48
0
0
09 Feb 2025
Backdooring Vision-Language Models with Out-Of-Distribution Data
Backdooring Vision-Language Models with Out-Of-Distribution Data
Weimin Lyu
Jiachen Yao
Saumya Gupta
Lu Pang
Tao Sun
Lingjie Yi
Lijie Hu
Haibin Ling
Chao Chen
VLM
AAML
54
2
0
02 Oct 2024
Foundational Models in Medical Imaging: A Comprehensive Survey and
  Future Vision
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad
Reza Azad
Sania Eskandari
Afshin Bozorgpour
A. Kazerouni
I. Rekik
Dorit Merhof
VLM
MedIm
93
57
0
28 Oct 2023
On the Adversarial Robustness of Multi-Modal Foundation Models
On the Adversarial Robustness of Multi-Modal Foundation Models
Christian Schlarmann
Matthias Hein
AAML
102
84
0
21 Aug 2023
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
1