Poster "robustness evaluation" Papers
16 papers found
Conference
DiffBreak: Is Diffusion-Based Purification Robust?
Andre Kassis, Urs Hengartner, Yaoliang Yu
NEURIPS 2025arXiv:2411.16598
1
citations
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam et al.
CVPR 2025
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
Jie Zhang, Zhongqi Wang, Mengqi Lei et al.
ICLR 2025arXiv:2406.18849
3
citations
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations
Jack Nugent, Siyang Wu, Zeyu Ma et al.
NEURIPS 2025arXiv:2507.00981
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
Zhiqin Yang, Yonggang Zhang, Chenxin Li et al.
NEURIPS 2025arXiv:2510.20250
MVGBench: a Comprehensive Benchmark for Multi-view Generation Models
Xianghui Xie, Jan Lenssen, Gerard Pons-Moll
ICCV 2025
3
citations
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
Shuai Yuan, Xingshuo Han, Hongwei Li et al.
NEURIPS 2025arXiv:2409.12394
5
citations
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
Herun Wan, Jiaying Wu, Minnan Luo et al.
NEURIPS 2025arXiv:2506.02350
6
citations
When Are Concepts Erased From Diffusion Models?
Kevin Lu, Nicky Kriplani, Rohit Gandikota et al.
NEURIPS 2025arXiv:2505.17013
5
citations
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
Yujun Zhou, Yufei Han, Haomin Zhuang et al.
ICML 2024
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri, Steffen Jung, Margret Keuper
ICML 2024arXiv:2302.02213
30
citations
Position: TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, Haoran Wang et al.
ICML 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao et al.
CVPR 2024arXiv:2404.09011
22
citations
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
Yi Yu, Yufei Wang, Song Xia et al.
ICML 2024arXiv:2405.01460
21
citations
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Chandra Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
ICLR 2024
8
citations
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
ECCV 2024arXiv:2306.12941
12
citations