Presents SwarmFuzzGraph and SwarmFuzzBinary to identify Swarm Propagation Vulnerabilities in drone swarm control algorithms exploitable via GPS spoofing.
A Causal Explainable Guardrails for Large Language Models
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
support 1representative citing papers
Synthetic data generation exhibits disparate impact from group-specific approximation, sampling, and estimation errors; group-wise models improve both utility and parity on graphical model methods.
ConsisGuard is a consistency-aware framework that applies Policy-to-Decision Trajectory Distillation and Functional Coupling Alignment to improve policy execution consistency in reasoning-based LLM guardrails on harmfulness detection tasks.
citing papers explorer
-
Framework for Discovering GPS Spoofing Attacks in Drone Swarms
Presents SwarmFuzzGraph and SwarmFuzzBinary to identify Swarm Propagation Vulnerabilities in drone swarm control algorithms exploitable via GPS spoofing.
-
Disparate Impact in Synthetic Data Generation
Synthetic data generation exhibits disparate impact from group-specific approximation, sampling, and estimation errors; group-wise models improve both utility and parity on graphical model methods.
-
ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails
ConsisGuard is a consistency-aware framework that applies Policy-to-Decision Trajectory Distillation and Functional Coupling Alignment to improve policy execution consistency in reasoning-based LLM guardrails on harmfulness detection tasks.
- LLM Harms: A Taxonomy and Discussion