On the Adversarial Robustness of Multi-Modal Foundation Models

被引：0
|
作者：
Schlarmann, Christian [1 ]
Hein, Matthias [1 ]
机构：
[1] Tübingen AI Center, University of Tübingen, Germany
来源：
arXiv | 2023年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Adversarial Graph Attention Network for Multi-modal Cross-modal Retrieval
    Wu, Hongchang
    Guan, Ziyu
    Zhi, Tao
    zhao, Wei
    Xu, Cai
    Han, Hong
    Yang, Yarning
    2019 10TH IEEE INTERNATIONAL CONFERENCE ON BIG KNOWLEDGE (ICBK 2019), 2019, : 265 - 272
  • [22] Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
    Galke, Lukas
    Mai, Florian
    Vagliano, Iacopo
    Scherp, Ansgar
    PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), 2018, : 197 - 205
  • [23] Multi-modal False Information Detection Based on Adversarial Learning
    Tian, Tian
    Liu, Yudong
    Sun, Mengzhu
    Zhang, Xi
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [24] Adversarial Learning With Multi-Modal Attention for Visual Question Answering
    Liu, Yun
    Zhang, Xiaoming
    Huang, Feiran
    Cheng, Lei
    Li, Zhoujun
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (09) : 3894 - 3908
  • [25] Resilience analytics: coverage and robustness in multi-modal transportation networks
    Abdelkader Baggag
    Sofiane Abbar
    Tahar Zanouda
    Jaideep Srivastava
    EPJ Data Science, 7
  • [26] Resilience analytics: coverage and robustness in multi-modal transportation networks
    Baggag, Abdelkader
    Abbar, Sofiane
    Zanouda, Tahar
    Srivastava, Jaideep
    EPJ DATA SCIENCE, 2018, 7
  • [27] Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
    Vagliano, Iacopo
    Galke, Lukas
    Mai, Florian
    Scherp, Ansgar
    RECSYS CHALLENGE'18: PROCEEDINGS OF THE ACM RECOMMENDER SYSTEMS CHALLENGE 2018, 2018,
  • [28] Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
    Wang, Tsun-Hsuan
    Maalouf, Alaa
    Xia, Wei
    Bao, Yutong
    Amini, Alexander
    Rosman, Guy
    Karaman, Sertac
    Rus, Daniela
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024, 2024, : 6687 - 6694
  • [29] AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry Retrieval
    Jabbar, Muhammad Shahid
    Shin, Jitae
    Cho, Jun-Dong
    ELECTRONICS, 2022, 11 (08)
  • [30] Multi-modal Predictive Models of Diabetes Progression
    Ramazi, Ramin
    Perndorfer, Christine
    Soriano, Emily
    Laurenceau, Jean-Philippe
    Beheshti, Rahmatollah
    ACM-BCB'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, 2019, : 253 - 258
12345