#risk assessment

topicrisk assessment

16 papers · 1 filter

cs.SE2026

Emerging Challenges in Threat Modeling for GenAI-Augmented Systems: A View from the Trenches

Nicolás E. Díaz Ferreyra, Manish Mahesh Kumar, Nohemí Villarreal +3

The paper investigates how existing threat modeling methods cope with security risks introduced by generative AI components in software systems, presenting an exploratory study in…

cs.SE2026

AgentS4D: Benchmarking Runtime Risks across the Execution Lifecycle of LLM-Based Workspace Agents

Jiajun Zhou, Zhaoxuan Ke, Jihang Ye +3

The paper presents AgentS4D, a sandboxed benchmark that evaluates runtime safety risks of large language model‑based workspace agents throughout their execution lifecycle, using a…

cs.RO2026

Risk-Aware Motion Planning with Learned Trajectory Primitives and Probabilistic Safety Assessment

Marc Kaufeld, Dian Zhuang, Johannes Betz

The paper proposes a motion planning framework for urban autonomous driving that uses a radial basis function network to generate jerk‑minimal trajectory primitives and evaluates t…

eess.SY2026

Online Monitoring and Risk Assessment of Non-Cooperative UAVs via STL-Aware Adaptive Fusion Kalman Filtering

Xinhao Yan, Ruige Yang, Chao Peng +1

The paper proposes a real‑time framework that fuses a multi‑rate interacting multiple‑model Kalman filter with signal temporal logic to estimate the state of non‑cooperative UAVs a…

cond-mat.stat-mech2026

Macroscopic wall pressure and microscopic contact load in crowds without egress: social-group cohesion and boundary buffering

Bo-Shiun Shen, Son-Hsien Chen

The paper investigates how social-group cohesion and wall buffering affect macroscopic wall pressure and microscopic collision forces in dense crowds without exits, using coupled E…

cs.HC2026

Agentic AI Autonomy Assessment: A Decision-Support Framework Towards Governed Supply Chain Systems

Lennart Trumpler, Rodrigo Furlan de Assis, Elias Ribeiro da Silva +2

The paper proposes the Agentic AI Autonomy Assessment (AAAA) framework to quantify the autonomy of AI agents in supply chain tasks using delegation, consultation, and collaboration…