1 citations · 1 across the 4 of their papers we have counts for
4 papers
Global Challenge for Safe and Secure LLMs Track 1
Xiaojun Jia, Yihao Huang, Yang Liu +27
This paper introduces the Global Challenge for Safe and Secure Large Language Models (LLMs), a pioneering initiative organized by AI Singapore (AISG) and the CyberSG R&D Programme…
Prompt-Guided Environmentally Consistent Adversarial Patch
Chaoqun Li, Huanqian Yan, Lifeng Zhou +3
Adversarial attacks in the physical world pose a significant threat to the security of vision-based systems, such as facial recognition and autonomous driving. Existing adversarial…
Boosting Jailbreak Transferability for Large Language Models
Hanqing Liu, Lifeng Zhou, Huanqian Yan
Large language models have drawn significant attention to the challenge of safe alignment, especially regarding jailbreak attacks that circumvent security measures to produce harmf…
Dynamic Adversarial Attacks on Autonomous Driving Systems
Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap +2
This paper introduces an attacking mechanism to challenge the resilience of autonomous driving systems. Specifically, we manipulate the decision-making processes of an autonomous v…