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perturbation analysis

55 papers

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Co-occurring keywords · papers mentioning both

adversarial robustness (8) model robustness (5) evaluation metric (4) large language model (4) adversarial attack (3) neural network (3) sensitivity analysis (2) generalization bound (2) streaming algorithm (2) deep neural network (2)

Papers

LIBERO-Plus: A Progressive Robustness Benchmark for Visual-Language-Action Models CVPR 2026 Lyapunov Probes for Hallucination Detection in Large Foundation Models CVPR 2026 An Approach to Quantify Plans Robustness in Real-world Applications IJCAI 2025 An Automatic Method to Estimate Correctness of RAG COLING 2025 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality ICML 2025 IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP 2025 Rating AI Models for Robustness Through a Causal Lens IJCAI 2025 APPLS: Evaluating Evaluation Metrics for Plain Language Summarization EMNLP 2024 Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness WACV 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 On Measuring Context Utilization in Document-Level MT Systems EACL 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024 Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries NAACL 2024 What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024 When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ACL 2024 DeltaScore: Fine-Grained Story Evaluation with Perturbations EMNLP 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023 Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023 Perturbation Analysis of Neural Collapse ICML 2023 PerturbScore: Connecting Discrete and Continuous Perturbations in NLP EMNLP 2023 The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023