2 citations · 2 across the 4 of their papers we have counts for
5 papers
Safe Streaming Flow Planning by Aligning Sampling Dynamics with Execution Dynamics
Seunghwan Jang, Jeongyong Yang, Siddharth Ancha +1
Generative planners based on diffusion/flow matching can learn to synthesize long-horizon trajectories from demonstrations. However, real-world deployment requires (i) enforcing sa…
Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
Seunghwan Jang, SooJean Han, Wonje Jeung
Uniform-noise discrete diffusion and flow models generate sequences non-autoregressively through iterative, context-dependent token replacements. However, these models are typicall…
Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats
Ee Wei Seah, Yongsen Zheng, Naga Nikshith +67
The rapid rise of autonomous AI systems and advancements in agent capabilities are introducing new risks due to reduced oversight of real-world interactions. Yet agent testing rema…
SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
Jeongyong Yang, Seunghwan Jang, SooJean Han
Generative planners based on flow matching (FM) produce high-quality paths in a single or a few ODE steps, but their sampling dynamics offer no formal safety guarantees and can yie…
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Tingmin Wu, Shuiqiao Yang, Shigang Liu +3
Threat modeling is a crucial component of cybersecurity, particularly for industries such as banking, where the security of financial data is paramount. Traditional threat modeling…