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Workshop
Dropout Disagreement: A Recipe for Group Robustness with Fewer Annotations
Tyler LaBonte · Abhishek Kumar · Vidya Muthukumar
Workshop
Out-of-Distribution Robustness via Targeted Augmentations
Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang
Workshop
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig
Workshop
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
JONAS NGNAWE · Marianne ABEMGNIGNI NJIFON · Jonathan Heek · Yann Dauphin
Workshop
Visual response inhibition for increased robustness of convolutional networks to distribution shifts
Nicola Strisciuglio · George Azzopardi
Workshop
Benchmarking Robustness under Distribution Shift of Multimodal Image-Text Models
Jielin Qiu · Yi Zhu · Xingjian Shi · Zhiqiang Tang · DING ZHAO · Bo Li · Mu Li
Workshop
On the Robustness of deep learning-based MRI Reconstruction to image transformations
jinghan jia · Mingyi Hong · Yimeng Zhang · Mehmet Akcakaya · Sijia Liu
Workshop
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song
Workshop
Just Avoid Robust Inaccuracy: Boosting Robustness Without Sacrificing Accuracy
Yannick Merkli · Pavol Bielik · Petar Tsankov · Martin Vechev
Workshop
On the Impact of Adversarially Robust Models on Algorithmic Recourse
Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju
Workshop
Visual Prompting for Adversarial Robustness
Aochuan Chen · Peter Lorenz · Yuguang Yao · Pin-Yu Chen · Sijia Liu
Workshop
On the Feasibility of Compressing Certifiably Robust Neural Networks
Pratik Vaishnavi · Veena Krish · Farhan Ahmed · Kevin Eykholt · Amir Rahmati