David Stutz
10 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Conference Polyglot (6) ๐ Academic Marathon (6) ๐ Cross-Pollinator (15) ๐ Interdisciplinary Bridge
๐ฃ
Hot Topic Early Bird
๐บ๏ธ
Taxonomy Completionist
(20)
๐งฌ
Topic Evolution
๐
Century Club
(10)
๐ฅ
Unstoppable
(7)
Conferences
CVPR (3)
ICCV (2)
ICLR (2)
ECCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
adversarial training
(4)
adversarial example
(3)
vision transformer
(2)
attention mechanism
(2)
deep neural network
(2)
epistemic uncertainty
(1)
weakly supervised learning
(1)
robust classification
(1)
point cloud
(1)
confidence calibration
(1)
weak supervision
(1)
corruption robustness
(1)
loss landscape
(1)
probability distribution
(1)
early stopping
(1)
credal set
(1)
image corruption
(1)
robust overfitting
(1)
flat minima
(1)
data manifold
(1)
Papers
On Adversarial Training without Perturbing all Examples
ICLR 2024
Conformalized Credal Set Predictors
NIPS 2024
Robustifying Token Attention for Vision Transformers
ICCV 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 2023
Learning Optimal Conformal Classifiers
ICLR 2022
Improving Robustness by Enhancing Weak Subnets
ECCV 2022
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
ICML 2020
Disentangling Adversarial Robustness and Generalization
CVPR 2019
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision
CVPR 2018