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certified robustness

149 papers

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