Co-occurring keywords · papers mentioning both
Papers
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
AAAI 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NeurIPS 2024
Compact Proofs of Model Performance via Mechanistic Interpretability
NeurIPS 2024
Critically Assessing the State of the Art in Neural Network Verification
JMLR 2024
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
AAAI 2024
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification
AAAI 2024
Expressivity of ReLU-Networks under Convex Relaxations
ICLR 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
NeurIPS 2024
NN4SysBench: Characterizing Neural Network Verification for Computer Systems
NeurIPS 2024
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
NeurIPS 2024
Provably Safe Neural Network Controllers via Differential Dynamic Logic
NeurIPS 2024
Relational Verification Leaps Forward with RABBit
NeurIPS 2024
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
NeurIPS 2024
Scaling the Convex Barrier with Sparse Dual Algorithms
JMLR 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
AISTATS 2024
Towards Efficient Verification of Quantized Neural Networks
AAAI 2024
Towards Robust Saliency Maps
ACML 2024
Understanding Certified Training with Interval Bound Propagation
ICLR 2024
Verifiably Robust Conformal Prediction
NeurIPS 2024
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
ICML 2023
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification
AAAI 2023
Boosting Verified Training for Robust Image Classifications via Abstraction
CVPR 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks
AAAI 2023
Efficient Verification of Neural Networks Against LVM-Based Specifications
CVPR 2023