Core Viewpoint - The article discusses the upcoming 2025 CVPR conference, focusing on the fifth workshop on adversarial machine learning, which will explore the robustness challenges of foundation models and their specific applications in various fields [1][2]. Group 1: Workshop Details - The fifth workshop on adversarial machine learning will be held from June 11 to June 15, 2025, in Tennessee, USA, organized by prestigious institutions including Beihang University and Nanyang Technological University [1]. - The workshop's theme is "Foundation Models + X," emphasizing the robustness challenges of foundation models (FM) and their domain-specific applications (XFM) [2]. Group 2: Research Focus - Foundation models have transformed multiple fields, including computer vision, but their domain-specific adaptations (XFM) face vulnerabilities to adversarial attacks, which can lead to critical failures in safety-sensitive applications like autonomous driving and medical diagnostics [2][4]. - The workshop invites submissions related to various topics, including the robustness of X-domain-specific foundation models and adversarial attacks for social good [3][4]. Group 3: Competition Announcement - A competition will be held during the workshop, focusing on adversarial attacks against multimodal large language models (MLLMs), encouraging participants to design harmful image-text pairs [7]. - The competition will consist of preliminary and final rounds, with participants tasked to create adversarial pairs that trigger unsafe outputs from MLLMs [7].