Jingjing Chen

Title: Innovations of Jingjing Chen in Video Recognition

Introduction

Jingjing Chen is a prominent inventor based in Shanghai, China. She has made significant contributions to the field of video recognition through her innovative patents. With a total of two patents to her name, her work focuses on enhancing the security and efficiency of video recognition systems.

Latest Patents

Jingjing Chen's latest patents include a method and system for generating adversarial attacks on video recognition models. This method involves generating the content of bullet-screen comments (BSCs) using an image captioning model for a clean video sample. It further includes generating an adversarial video sample by inserting the BSCs into the clean video sample. The process utilizes the adversarial video sample to attack the video recognition model, optimizing the position and transparency of BSCs through a reinforced learning agent based on received rewards.

Another notable patent is the system and method for video backdoor attacks. This system comprises a trigger generation module that creates a universal adversarial trigger pattern specific to a task. It also includes an adversarial perturbation module that produces videos with manipulated features, along with a poisoning and inference module that injects the generated trigger into perturbed videos as poisoned samples for training. The trigger pattern is optimized on videos from all non-target classes but relabeled to a target class.

Career Highlights

Jingjing Chen is affiliated with Fudan University, where she continues to advance her research in video recognition technologies. Her work has garnered attention for its innovative approach to addressing vulnerabilities in video recognition systems.

Collaborations

Jingjing collaborates with notable colleagues such as Yugang Jiang and Shihao Zhao, contributing to a dynamic research environment that fosters innovation.

Conclusion

Jingjing Chen's contributions to the field of video recognition through her patents demonstrate her expertise and commitment to advancing technology. Her innovative methods for generating adversarial attacks and enhancing video security are paving the way for future developments in this critical area.