Co-occurring keywords · papers mentioning both
Papers
Adaptive and Robust Watermark for Generative Tabular Data
UAI 2026
Lipschitz Optimization for Formal Verification of Homographies
CVPR 2026
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
AAAI 2025
Robust Fair Clustering with Group Membership Uncertainty Sets
AISTATS 2025
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
ICLR 2024
Promoting Counterfactual Robustness through Diversity
AAAI 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
AISTATS 2024
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
ICML 2024
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
ICML 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
ACML 2023
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
ICLR 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
ICML 2022
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
IJCAI 2022
Adaptive Verifiable Training Using Pairwise Class Similarity
AAAI 2021
Robustness Guarantees for Bayesian Inference with Gaussian Processes
AAAI 2019
Robustness Guarantees for Density Clustering
AISTATS 2019
Semidefinite relaxations for certifying robustness to adversarial examples
NeurIPS 2018
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
ICML 2014