🔒 Trustworthy FMs Workshop

Trust Before Use: Building Foundation Models that You Can Trust

📍 In conjunction with ICCV 2025 — Oct. 19–23, Honolulu, Hawai'i

Overview Schedule Accepeted Papers Call for Papers Invited Speakers Senior Organizers Organizers Attending

📑 Accepted Papers

We are excited to announce the accepted papers for the T2FM Workshop at ICCV 2025. All papers will be presented during oral or poster sessions at the workshop. The list will be updated continuously as authors confirm participation.

  • VisualDAN: Exposing Vulnerabilities in VLMs with Visual-Driven DAN Commands
    Aofan Liu, Lulu Tang
    Poster
  • Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
    Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
    Oral
  • What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
    Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri P Krishnan, Christopher Kanan
    Poster
  • Federated Foundation Models Raise New Concerns of Robustness, Privacy, and Fairness
    Jiaqi Wang, Xi Li
    Poster
  • DASH: Detection and Assessment of Systematic Hallucinations of VLMs
    Maximilian Augustin, Yannic Neuhaus, Matthias Hein
    Oral
  • GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
    Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak
    Oral
  • FairReason: Balancing Reasoning and Social Bias in MLLMs
    Zhenyu Pan, Yutong Zhang, Jianshu Zhang, Haoran Lu, Haozheng Luo, Yuwei Han, Philip S. Yu, Manling Li, Han Liu
    Poster
  • Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
    Shuyang Hao, Yiwei Wang, Bryan Hooi, Ming-Hsuan Yang, Jun Liu, Chengcheng Tang, Zi Huang, Yujun Cai
    Poster
  • Rethinking the Safety Landscape for Foundation Models: A Multi-Modal Perspective
    Xi Li, Shu Zhao, Fei Zhao, Runlong Yu
    Poster
  • Ditect: Lightweight Harmful Content Detector for Text-to-Image Generation
    Hangfan Zhang, Bochuan Cao, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
    Poster
  • FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
    S M Sarwar
    Poster
  • A Dual-Protection Framework for Copyright Protection and Image Editing Using Multi-Label Conformal Prediction
    Yuxuan Sun, Sowmen Das, Zhuo Zhi, Minghe Shen, Ziquan Liu, Miguel R. D. Rodrigues
    Poster
  • The Hidden Vulnerabilities of AI-Generated Code: A Cross-Language Security Investigation
    Jinghao Wang, Carter Yagemann
    Poster
  • Understanding Alignment in Multimodal LLMs: A Comprehensive Study
    Elmira Amirloo, Jean-Philippe Fauconnier, Christoph Roesmann, Christian Kerl, Rinu Boney, Yusu Qian, Zirui Wang, Afshin Dehghan, Yinfei Yang, Zhe Gan, Peter Grasch
    Poster
  • Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
    Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman Khan
    Oral
  • Safety Mirage: How Spurious Correlations Undermine MLLM Safety Fine-tuning
    Yiwei Chen, Yuguang Yao, Yihua Zhang, Bingquan Shen, Gaowen Liu, Sijia Liu
    Poster
  • JensUn: Effective LLM Unlearning via the Jensen-Shannon Divergence
    Naman Deep Singh, Maximilian Müller, Francesco Croce, Matthias Hein
    Poster
  • Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
    Zhenyu Pan, Yiting Zhang, Yutong Zhang, Yuwei Han, Jianshu Zhang, Haozheng Luo, Dennis Wu, Hong-Yu Chen, Manling Li, Philip S. Yu, Han Liu
    Poster
  • Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
    Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No
    Poster
  • Synthetic Text-to-Image Pre-training through Fractals with Pseudo-Captions
    Jumpei Nakao, Yuto Shibata, Rintaro Yanagi, Masaru Isonuma, Hirokatsu Kataoka, Junichiro Mori, Ichiro Sakata
    Poster
  • Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Model
    Weidi Luo, Tianyu Lu, Qiming Zhang, Xiaogeng Liu, Bin Hu, Yue Zhao, Jieyu Zhao, Song Gao, Patrick McDaniel, Zhen Xiang, Chaowei Xiao
    Oral
  • Revisiting Semi-Supervised Learning in the Era of Foundation Models
    Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao
    Poster