# video
9 articlestagged with “video”
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.