Robustness Benchmarks papers, 2023–2026

Key findings

• Robustness Benchmarks went from 64 papers in 2023 to 69 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most Robustness Benchmarks work: 80 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with General ML · evaluation: papers tagged with both rose from 0 in 2023 to 8 in 2026.
• Among the 5 topics under Evaluation and Benchmarks, it ranks #4 by 2026 paper count; the fastest grower in the group, LLM Benchmarks, is up 154x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Brittlebench: Quantifying LLM robustness via prompt sensitivity
• ICML 2026Geometrically Constrained Outlier Synthesis
• ICLR 2026Pitfalls in Evaluating Language Model Forecasters
• CVPR 2026FoV-Net Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
• NeurIPS 2025Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
• ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
• ICLR 2025DRoP: Distributionally Robust Data Pruning
• CVPR 2025FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
• NeurIPS 2024An Analysis of Robustness of Non-Lipschitz Networks
• ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
• ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
• CVPR 2024A Bayesian Approach to OOD Robustness in Image Classification
• NeurIPS 2023Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
• ICML 2023A Law of Robustness beyond Isoperimetry
• ICLR 2023A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
• CVPR 2023Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
• NeurIPS 2026Stress-Testing Neural Network Verifiers with Provably Robust Instances
• ICML 2026Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
• ICLR 2026CLARC: C/C++ Benchmark for Robust Code Search
• CVPR 2026LIBERO-Plus A Progressive Robustness Benchmark for Visual-Language-Action Models

All Robustness Benchmarks papers

74 papers, page 1 of 2

1. ICML 2026A Geometry-Based View of Mahalanobis OOD Detection
2. ICML 2026AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
3. ICML 2026AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality-Missing Prompt Tuning
4. ICML 2026Beyond Benchmarks: Toward Causally Faithful Evaluation of Large Language Models
5. ICML 2026CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
6. ICML 2026Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings
7. ICML 2026Ellipsoidal Time Series Forecasting
8. ICML 2026Evaluating Robustness of Reasoning Models on Parameterized Logical Problems
9. ICML 2026Expanding the AI Evaluation Toolbox with Statistical Models
10. ICML 2026GENEB: Why Genomic Models Are Hard to Compare
11. ICML 2026Geometrically Constrained Outlier Synthesis
12. ICML 2026Improving the Robustness-Utility Trade-off in Decentralized Learning over Sparse Networks
13. ICML 2026Improving the Sensitivity of Backdoor Detectors via Class Subspace Orthogonalization
14. ICML 2026MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
15. ICML 2026Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
16. ICML 2026Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
17. ICML 2026Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
18. ICML 2026ProMiSE: Protein Multi-State Evaluation Benchmark in Biological Contexts
19. ICML 2026RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
20. ICML 2026Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
21. ICML 2026Towards Optimal Robustness in Learning-Augmented Paging
22. ICML 2026Training-Free Adversarial Robustness in Computational MRI
23. ICML 2026VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
24. ICML 2026When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
25. ICML 2025Adversarial Robustness via Deformable Convolution with Stochasticity
26. ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
27. ICML 2025Explaining the role of Intrinsic Dimensionality in Adversarial Training
28. ICML 2025LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
29. ICML 2025LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
30. ICML 2025Mahalanobis++: Improving OOD Detection via Feature Normalization
31. ICML 2025Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
32. ICML 2025One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
33. ICML 2025Pixel-level Certified Explanations via Randomized Smoothing
34. ICML 2025Position: AI Safety Must Embrace an Antifragile Perspective
35. ICML 2025Position: AI Should Not Be An Imitation Game: Centaur Evaluations
36. ICML 2025Position: Certified Robustness Does Not (Yet) Imply Model Security
37. ICML 2025Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
38. ICML 2025Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
39. ICML 2025Position: Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
40. ICML 2025Probably Approximately Global Robustness Certification
41. ICML 2025Quadratic Upper Bound for Boosting Robustness
42. ICML 2025Statistical Hypothesis Testing for Auditing Robustness in Language Models
43. ICML 2025Towards Robust Influence Functions with Flat Validation Minima
44. ICML 2025When and How Does CLIP Enable Domain and Compositional Generalization?
45. ICML 2024Can Implicit Bias Imply Adversarial Robustness?
46. ICML 2024Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
47. ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
48. ICML 2024Density Ratio Estimation with Doubly Strong Robustness
49. ICML 2024Enhancing Adversarial Robustness in SNNs with Sparse Gradients
50. ICML 2024Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples

FAQ

How many Robustness Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

264 in total: 64 in 2023, 59 in 2024, 72 in 2025, 69 in 2026.

How many Robustness Benchmarks papers are at NeurIPS 2026?

NeurIPS 2026 has 18 Robustness Benchmarks papers, versus 34 the year before.

How many Robustness Benchmarks papers are at ICLR 2026?

ICLR 2026 has 15 Robustness Benchmarks papers, versus 10 the year before.

How many Robustness Benchmarks papers are at ICML 2026?

ICML 2026 has 24 Robustness Benchmarks papers, versus 20 the year before.

How many Robustness Benchmarks papers are at CVPR 2026?

CVPR 2026 has 12 Robustness Benchmarks papers, versus 8 the year before.

Which conference publishes the most Robustness Benchmarks papers?

NeurIPS, with 80 papers from 2023 to 2026.