Co-occurring keywords · papers mentioning both
Papers
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
ICML 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
NeurIPS 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
ICLR 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off
L4DC 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
CVPR 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
ICLR 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
AAAI 2024
Training for Stable Explanation for Free
NeurIPS 2024
Understanding Certified Training with Interval Bound Propagation
ICLR 2024
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract)
IJCAI 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
NeurIPS 2023
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
ICLR 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
L4DC 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NeurIPS 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
ICML 2023
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness
AAAI 2023
Connecting Certified and Adversarial Training
NeurIPS 2023
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
WACV 2023
Defending against Adversarial Audio via Diffusion Model
ICLR 2023
DensePure: Understanding Diffusion Models for Adversarial Robustness
ICLR 2023
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
ICML 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks
ICML 2023
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
NeurIPS 2023