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Author

Matthew Lau

Georgia Institute of Technology

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ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages

ComplicitSplat is introduced, the first attack that exploits standard 3DGS shading methods to create viewpoint-specific camouflage to embed adversarial content in scene objects that are visible only from specific viewpoints and without requiring access to model architecture or weights.

Matthew Hull, Haoyang Yang, P. Mehta et al. · 1 citation
#machine learning Preprint Aug 2026

ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity

Adversarial Robustness with Manifold-Oriented Training (ARMOR), a novel defense that realizes the core insights of on-manifold adversarial training (OMAT) in low-data regimes and translates insights from manifold-based training to defend object detectors amidst training data scarcity.

Hao-Ran Wang, Matthew Lau, Alec Helbling et al. · 0 citations

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