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Input Space Mode Connectivity in Deep Neural Networks
2025-01-22
· ICLR 2025 Poster ·
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Findings
IC-076
GoogLeNet and ViT exhibit input space mode connectivity: inputs with similar predictions are connected by low-loss paths, with real-real pairs showing approximately linear paths and real-adversarial pairs showing significantly higher barriers
IC-077
VGG-16's loss landscape barrier height distinguishes adversarial from real inputs, enabling a detection method that outperforms baselines on DeepFool and C&W attacks