robustness analysis

Precision vs. Perturbation: Robustness Analysis of Synonym Attacks in Ukrainian NLP ACL 2025 PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks JMLR 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights ICCV 2025 Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results IJCAI 2025 Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers NAACL 2025 Large language models fail to derive atypicality inferences in a human-like manner ACL 2024 On the Reliability of Watermarks for Large Language Models ICLR 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023 On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ACL 2023 3DB: A Framework for Debugging Computer Vision Models NeurIPS 2022 Are Defenses for Graph Neural Networks Robust? NeurIPS 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses NeurIPS 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations NeurIPS 2022 Robustness Disparities in Face Detection NeurIPS 2022 Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models IJCAI 2021 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021 Evaluations and Methods for Explanation through Robustness Analysis ICLR 2021 How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NeurIPS 2020 On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020 A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Cascading Sum-Product Networks using Robustness PGM 2018 Geometry-Aware Deep Transform ICCV 2015 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014