SoK: The Security-Safety Continuum of Multimodal Foundation Models through Information Flow and Global Game-Theoretic Analysis of Asymmetric Threats
Ruoxi Sun, Jiamin Chang, Hammond Pearce, Chaowei Xiao, Bo Li, Qi Wu, Surya Nepal, Minhui Xue

TL;DR
This paper analyzes the security and safety challenges of multimodal foundation models using information theory and game theory, proposing a taxonomy, defense evaluation framework, and a self-destruction threshold for improved safety.
Contribution
It introduces an information-theoretic taxonomy and a game-theoretic analysis of threats, along with a defense evaluation framework and a formal self-destruction threshold for MFMs.
Findings
System-level safeguards outperform model-centric defenses against adaptive attacks.
Bandwidth constraints significantly limit adversarial impact.
Defense Coverage Index effectively evaluates defense mechanisms.
Abstract
Multimodal foundation models (MFMs) integrate diverse data modalities to support complex and wide-ranging tasks. However, this integration also introduces distinct safety and security challenges. In this paper, we unify the concepts of safety and security in the context of MFMs by identifying critical threats that arise from both model behavior and system-level interactions. We propose a taxonomy grounded in information theory, evaluating risks through the concepts of channel capacity, signal, noise, and bandwidth. This perspective provides a principled way to analyze how information flows through MFMs and how vulnerabilities can emerge across modalities. Building on this foundation, we introduce a deterministic minimax formulation to analyze defense mechanisms and to study a structural asymmetry of defense in multimodal systems. Our analysis indicates that model-centric defenses, which…
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Taxonomy
TopicsInformation and Cyber Security
