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
  • [1] On the Adversarial Robustness of Multi-Modal Foundation Models
    Schlarmann, Christian
    Hein, Matthias
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, 2023, : 3679 - 3687
  • [2] MDAPT: Multi-Modal Depth Adversarial Prompt Tuning to Enhance the Adversarial Robustness of Visual Language Models
    Li, Chao
    Liao, Yonghao
    Ding, Caichang
    Ye, Zhiwei
    SENSORS, 2025, 25 (01)
  • [3] Multi-Modal Generative AI with Foundation Models
    Liu, Ziwei
    PROCEEDINGS OF THE 2ND WORKSHOP ON LARGE GENERATIVE MODELS MEET MULTIMODAL APPLICATIONS, LGM(CUBE)A 2024, 2024, : 4 - 4
  • [4] Multi-Modal Generative AI with Foundation Models
    Liu, Ziwei
    PROCEEDINGS OF THE 1ST WORKSHOP ON LARGE GENERATIVE MODELS MEET MULTIMODAL APPLICATIONS, LGM3A 2023, 2023, : 5 - 5
  • [5] Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing
    Shang, Yu
    Gao, Chen
    Chen, Jiansheng
    Jin, Depeng
    Ma, Huimin
    Li, Yong
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 6274 - 6282
  • [6] Adversarial Illusions in Multi-Modal Embeddings
    Zhang, Tingwei
    Jha, Rishi
    Bagdasaryan, Eugene
    Shmatikov, Vitaly
    PROCEEDINGS OF THE 33RD USENIX SECURITY SYMPOSIUM, SECURITY 2024, 2024, : 3009 - 3025
  • [7] Possibilities of the Latest AI Models in Production – Multi-Modal Foundation Models in Production
    Behnen, H.
    Woltersmann, J.-H.
    Wolfschläger, D.
    Schmitt, R.H.
    WT Werkstattstechnik, 2024, 114 (11-12): : 747 - 754
  • [8] Improving Zero-shot Generalization and Robustness of Multi-modal Models
    Ge, Yunhao
    Ren, Jie
    Gallagher, Andrew
    Wang, Yuxiao
    Yang, Ming-Hsuan
    Adam, Hartwig
    Itti, Laurent
    Lakshminarayanan, Balaji
    Zhao, Raping
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 11093 - 11101
  • [9] Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-Modal Fake News Detection
    Chen, Jinyin
    Jia, Chengyu
    Zheng, Haibin
    Chen, Ruoxi
    Fu, Chenbo
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2023, 10 (06): : 3144 - 3158
  • [10] Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
    Che, Liwei
    Wang, Jiaqi
    Liu, Xinyue
    Ma, Fenglong
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-APPLIED DATA SCIENCE TRACK, PT IX, ECML PKDD 2024, 2024, 14949 : 401 - 417