activity
20232026
collaborators

5 papers

cs.CR2026

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents

Mengyao Du, Han Fang, Haokai Ma +4

Web agents have emerged as an effective paradigm for automating interactions with complex web environments, yet remain vulnerable to prompt injection attacks that embed malicious i…

cs.AI2024

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach

Zhengqiu Zhu, Yong Zhao, Bin Chen +6

The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progres…

cs.LG2024

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness

Mengyao Du, Miao Zhang, Yuwen Pu +3

To tackle the scarcity and privacy issues associated with domain-specific datasets, the integration of federated learning in conjunction with fine-tuning has emerged as a practical…

cs.CV2023

DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation

Ting Liu, Yue Hu, Wansen Wu +3

Following language instructions to navigate in unseen environments is a challenging task for autonomous embodied agents. With strong representation capabilities, pretrained vision-…

cs.CV2023

Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation

Ting Liu, Yue Hu, Wansen Wu +3

Pretrained visual-language models have extensive world knowledge and are widely used in visual and language navigation (VLN). However, they are not sensitive to indoor scenarios fo…