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 2 of 2

51. ICML 2024Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
52. ICML 2024Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
53. ICML 2024Multigroup Robustness
54. ICML 2024OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
55. ICML 2024Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
56. ICML 2024Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
57. ICML 2024Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
58. ICML 2024Robustness of Nonlinear Representation Learning
59. ICML 2024WAVES: Benchmarking the Robustness of Image Watermarks
60. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
61. ICML 2023A Law of Robustness beyond Isoperimetry
62. ICML 2023Adversarial robustness of amortized Bayesian inference
63. ICML 2023BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
64. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
65. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
66. ICML 2023GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
67. ICML 2023How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
68. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
69. ICML 2023Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
70. ICML 2023Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
71. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
72. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch
73. ICML 2023Stratified Adversarial Robustness with Rejection
74. ICML 2023Training-Free Neural Active Learning with Initialization-Robustness Guarantees

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.