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04/28/2023
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving
Multi-sensor fusion (MSF) is widely adopted for perception in autonomous...
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02/27/2023
Leveraging Angular Distributions for Improved Knowledge Distillation
Knowledge distillation as a broad class of methods has led to the develo...
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11/08/2022
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
Mixup is a popular data augmentation technique based on creating new sam...
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07/11/2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Deep learning has substantially boosted the performance of Monocular Dep...
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06/21/2021
PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems
A robotic system continuously measures its own motions and the external ...
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09/22/2020
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Standard deep learning models that employ the categorical cross-entropy ...
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04/28/2020
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training
In data-parallel synchronous training of deep neural networks, different...
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04/21/2020
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Deep-learning architectures for classification problems involve the cros...
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06/05/2019
