Landseer: First Framework for Composing ML Defenses Across Robustness, Privacy, and Fairness Simultaneously

arXiv·medium signal

Sharma et al. present Landseer, a modular framework for integrating multiple ML defenses that typically address threats in isolation (robustness, privacy, fairness). Real-world deployments require these defenses composed together, but the interaction effects on performance and security are poorly understood. Landseer provides the first systematic way to evaluate defense compositions and their tradeoffs.