Tian Dong
Papers
2
Total Citations
10
H-Index
2
About
Tian Dong is a researcher whose work bridges the fields of robotics and artificial intelligence security. In robotics, Dong is best known for a highly cited 2019 paper on the generation and evaluation of comprehensive mapping robot datasets. This work introduced a fully hardware-synchronized mapping robot, paired with an external tracking system and a professional static 3D scanner, to achieve super-precise timing and localization for ground truth map collection. The resulting datasets, which have earned 7 citations, provide a critical benchmark for evaluating SLAM and mapping algorithms. More recently, Dong has ventured into the emerging area of AI security, co-authoring a 2023 paper that investigates the vulnerability of open-source Large Language Models (LLMs) to Trojan attacks via low-rank adapters. This work, titled "The Philosopher's Stone: Trojaning Plugins of Large Language Models," highlights a novel attack vector where malicious plugins can compromise LLMs without expensive hardware, raising important concerns for the safe deployment of fine-tuned models. Dong’s contributions thus span from foundational robotics datasets to cutting-edge AI safety, demonstrating a versatile and impactful research portfolio.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Philosopher's Stone: Trojaning Plugins of Large Language Models3 citations · 2023