# video
標記為「video」的 18 篇文章
Multimodal Security
Security assessment of multimodal AI systems processing images, audio, video, and cross-modal inputs, covering vision-language models, speech systems, video analysis, and cross-modal attack techniques.
Video Model Attacks
Video understanding model security, frame-level vs temporal attacks, how video models process sequences, and the complete attack surface overview.
Lab: Video Model Adversarial Attacks
Hands-on lab crafting adversarial video frames using frame-level perturbation with OpenCV and PyTorch for video model exploitation.
Temporal Manipulation & Frame Injection
Techniques for injecting adversarial frames into video streams, temporal consistency attacks, and single-frame injection for behavior change in video AI models.
Video Frame Injection Attacks
Inserting adversarial frames into video to exploit video understanding models: temporal injection, keyframe manipulation, subliminal frame attacks, and detection evasion.
Video Frame Injection
Injecting adversarial content into video frames processed by video-understanding AI models.
Video Temporal Frame Injection
Injecting adversarial frames at specific temporal positions in video streams processed by video understanding models.
Attacks on Video Understanding Models
Techniques for attacking AI video understanding systems through frame injection, temporal manipulation, and adversarial video generation targeting models like Gemini 2.5 Pro.
Video Frame Injection (Attack Walkthrough)
Embedding prompt injection payloads in specific video frames to attack multimodal models that process video content, exploiting temporal and visual channels simultaneously.
多模態安全
處理影像、音訊、影片與跨模態輸入之多模態 AI 系統的安全評估，涵蓋視覺-語言模型、語音系統、影片分析與跨模態攻擊技術。
影片模型攻擊
影片理解模型的安全性、影格層級攻擊與時序攻擊的差異、影片模型如何處理序列資訊，以及完整的攻擊面概觀。
實驗室: Video 模型 Adversarial 攻擊s
Hands-on lab crafting adversarial video frames using frame-level perturbation with OpenCV and PyTorch for video model exploitation.
時序操弄與影格注入
將對抗影格注入影片串流的技術、時序一致性攻擊，以及透過單一影格注入改變影片 AI 模型行為。
Video Frame Injection 攻擊s
Inserting adversarial frames into video to exploit video understanding models: temporal injection, keyframe manipulation, subliminal frame attacks, and detection evasion.
Video Frame Injection
Injecting adversarial content into video frames processed by video-understanding AI models.
Video Temporal Frame Injection
Injecting adversarial frames at specific temporal positions in video streams processed by video understanding models.
攻擊s on Video Understanding 模型s
Techniques for attacking AI video understanding systems through frame injection, temporal manipulation, and adversarial video generation targeting models like Gemini 2.5 Pro.
Video Frame Injection (攻擊 導覽)
Embedding prompt injection payloads in specific video frames to attack multimodal models that process video content, exploiting temporal and visual channels simultaneously.