When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking· 当效率成为脆弱性：自适应 UAV 跟踪中的动态路由漏洞
Resource constraints on UAV platforms have driven a paradigm shift in aerial tracking, from pursuing performance toward balancing accuracy with efficiency. Adaptive Transformer Trackers, which leverage an input-dependent dynamic routing architecture, have emerged as a representative solution to this challenge. However, we reveal that behind this computation-on-demand flexibility hides a critical structural flaw: the Lipschitz singularity of computational path decisions, which has an unbounded local Lipschitz constant at discrete layer-skipping decision boundaries. This mathematical discontinuity renders adaptive tracking networks inherently unstable: tiny input perturbations can be amplified at the gating modules, causing dramatic changes in the inference topology. We formally characterize
揭示自适应无人机跟踪中动态路由架构的脆弱性问题。
- 核心方法
- 通过数学分析，指出在离散层跳过决策边界处，自适应跟踪网络的局部 Lipschitz 常数无界，导致系统不稳定。提出了一种形式化的方法来表征这一不稳定性。
- 适合谁读
- 研究者、工程师
- 要解决的问题
- 自适应 UAV 跟踪系统中，计算路径决策的 Lipschitz 奇异性导致系统对微小输入扰动高度敏感，从而引起推理拓扑的剧烈变化。
- 关键实验
- 未提供
- 主要贡献
- 首次揭示了自适应 Transformer 跟踪器中存在的动态路由架构脆弱性问题，并提出了一种形式化方法来评估和理解这种不稳定性。
- 意义与局限
- 该研究指出了自适应 UAV 跟踪系统中的一个重要安全漏洞，对设计更稳定的自适应系统具有重要指导意义。然而，研究未提供具体的实验验证和解决方案，存在一定局限。