335 citations · 833 across the 44 of their papers we have counts for
45 papers
Representation Transitions Reveal Emerging Safety Risks in Multi-Turn LLM Agents
Haoyu Wang, Wei Zhao, Yedi Zhang +2
Multi-turn attacks on agentic systems can compose individually permissible actions into harmful outcomes, challenging defenses that assess actions or states in isolation. We show t…
From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems
Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar
Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the comp…
Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
Christoph Treude, Christopher M. Poskitt, Rashina Hoda
Peer review in software engineering research operates under tight time constraints, while generative AI has substantially reduced the human effort required to produce polished rese…
SafeClaw-R: Towards Safe and Secure Multi-Agent Personal Assistants
Haoyu Wang, Zibo Xiao, Yedi Zhang +2
LLM-based multi-agent systems (MASs) are transforming personal productivity by autonomously executing complex, cross-platform tasks. Frameworks such as OpenClaw demonstrate the pot…
Developing a Strong CPS Defender: An Evolutionary Approach
Qingyuan Hu, Christopher M. Poskitt, Jun Sun +1
Cyber-physical systems (CPSs) are used extensively in critical infrastructure, underscoring the need for anomaly detection systems that are able to catch even the most motivated at…
Designing for Novice Debuggers: A Pilot Study on an AI-Assisted Debugging Tool
Oka Kurniawan, Erick Chandra, Christopher M. Poskitt +3
Debugging is a fundamental skill that novice programmers must develop. Numerous tools have been created to assist novice programmers in this process. Recently, large language model…