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04/19/2022
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks
Deep neural networks have become an integral part of our software infras...
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05/16/2021
Real-time Detection of Practical Universal Adversarial Perturbations
Universal Adversarial Perturbations (UAPs) are a prominent class of adve...
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04/21/2021
Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Universal Adversarial Perturbations (UAPs) are input perturbations that ...
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02/07/2021
Object Removal Attacks on LiDAR-based 3D Object Detectors
LiDARs play a critical role in Autonomous Vehicles' (AVs) perception and...
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12/10/2020
Robustness and Transferability of Universal Attacks on Compressed Models
Neural network compression methods like pruning and quantization are ver...
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11/23/2019
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training
Convolutional Neural Networks (CNNs) used on image classification tasks ...
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09/11/2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Federated learning enables training collaborative machine learning model...
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06/08/2019
Sensitivity of Deep Convolutional Networks to Gabor Noise
Deep Convolutional Networks (DCNs) have been shown to be sensitive to Un...
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09/30/2018
