2 papers
cs.LG2026
Revisiting Neural Activation Coverage for Uncertainty Estimation
Benedikt Franke, Nils Förster, Frank Köster +3
Neural activation coverage (NAC) is a recently-proposed technique for out-of-distribution detection and generalization. We build upon this promising foundation and extend the metho…
cs.LG2024
Integrating uncertainty quantification into randomized smoothing based robustness guarantees
Sina Däubener, Kira Maag, David Krueger +1
Deep neural networks have proven to be extremely powerful, however, they are also vulnerable to adversarial attacks which can cause hazardous incorrect predictions in safety-critic…