Papers Using This Method
One Sample is Enough to Make Conformal Prediction Robust2025-06-19Cert-SSB: Toward Certified Sample-Specific Backdoor Defense2025-04-30AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks2025-03-29Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks2025-03-12CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models2025-03-08Towards the Worst-case Robustness of Large Language Models2025-01-31Robust Representation Consistency Model via Contrastive Denoising2025-01-22Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing2024-11-01Integrating uncertainty quantification into randomized smoothing based robustness guarantees2024-10-27Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification2024-10-08Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble2024-09-04PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning2024-08-29Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision2024-08-23Privacy-preserving Universal Adversarial Defense for Black-box Models2024-08-20Certifiably Robust Encoding Schemes2024-08-02CERT-ED: Certifiably Robust Text Classification for Edit Distance2024-08-01Discrete Randomized Smoothing Meets Quantum Computing2024-08-01RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding2024-07-29Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis2024-07-25Variational Randomized Smoothing for Sample-Wise Adversarial Robustness2024-07-16