RobustGenBench: A Benchmark for Robust Generalization to Adversarial and Common Perturbations, with Applications to Vision and Vision-Enabled Large Language Models
Published in NeurIPS 2026, Evaluations and Datasets Track, 2026
RobustGenBench provides a benchmark for robust generalization to adversarial and common perturbations, with applications to vision models and vision-enabled large language models.
Accepted at NeurIPS 2026, Evaluations and Datasets Track. Paper link coming soon.
Recommended citation: Heuillet, M., Ngnawé, J., Bhagwatkar, R., Pequignot, Y., Larouche, A., Gagné, C., Rish, I., Ahmad, O., & Durand, A. (2026). RobustGenBench: A Benchmark for Robust Generalization to Adversarial and Common Perturbations, with Applications to Vision and Vision-Enabled Large Language Models. NeurIPS 2026, Evaluations and Datasets Track.