Robust Models are less Over-Confident

12 October 2022

Papers citing "Robust Models are less Over-Confident"

20 / 20 papers shown

Title
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Shashank Agnihotri Amaan Ansari Annika Dackermann Fabian Rösch M. Keuper 50 0 0 08 May 2025
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? Shashank Agnihotri David Schader Nico Sharei Mehmet Ege Kaçar M. Keuper 41 2 0 07 May 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 62 0 0 21 Mar 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 44 3 0 30 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri M. Keuper J. Keuper 26 2 0 18 Oct 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 39 0 0 06 Jun 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 45 0 0 22 May 2024
The Over-Certainty Phenomenon in Modern UDA Algorithms Fin Amin Jung-Eun Kim 32 0 0 24 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 40 0 0 22 Mar 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 3 0 08 Feb 2024
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani H. Najjaran OOD 44 6 0 12 Dec 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 23 3 0 12 Aug 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 24 3 0 20 May 2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach X. Peng Zhenkun Zhou Chong Zhang Ke Xu 26 1 0 22 Apr 2023
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
DL-Reg: A Deep Learning Regularization Technique using Linear Regression Maryam Dialameh A. Hamzeh Hossein Rahmani 16 3 0 31 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 228 677 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 258 36,371 0 25 Aug 2016