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Papers
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
NIPS 2021
Towards Stable and Robust AdderNets
NIPS 2021
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
NIPS 2021
On Locality of Local Explanation Models
NIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
NIPS 2021
Are Transformers more robust than CNNs?
NIPS 2021
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
NIPS 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
ICML 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
IJCAI 2021