certified robustness

116 papers

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Co-occurring keywords

adversarial robustness (1335) randomized smoothing (87) neural network (6616) adversarial defense (324) adversarial attack (1599) adversarial training (1261) interval bound propagation (14) robustness certification (47) adversarial perturbation (376) neural network verification (106)

Papers

CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026

Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain AAAI 2026

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025

Certified Trustworthiness in the Era of Large Language Models AAAI 2025

Certified Causal Defense with Generalizable Robustness AAAI 2025

Certified Human Trajectory Prediction CVPR 2025

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NIPS 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models ACL 2024

CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024

Diffusion Models are Certifiably Robust Classifiers NIPS 2024

Training for Stable Explanation for Free NIPS 2024

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness NIPS 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024

Achieving Domain-Independent Certified Robustness via Knowledge Continuity NIPS 2024

MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models CVPR 2024

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NIPS 2024

DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024

Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024

Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024

Direct Parameterization of Lipschitz-Bounded Deep Networks ICML 2023

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing ICML 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023