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Real-time Detection of Practical Universal Adversarial Perturbations


May 22, 2021
Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu


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Jacobian Regularization for Mitigating Universal Adversarial Perturbations


Apr 21, 2021
Kenneth T. Co, David Martinez Rego, Emil C. Lupu


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Object Removal Attacks on LiDAR-based 3D Object Detectors


Feb 07, 2021
Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou, Emil C. Lupu

* Accepted to AutoSec at NDSS 2021 

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Robustness and Transferability of Universal Attacks on Compressed Models


Dec 10, 2020
Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martinez, Emil C. Lupu

* Accepted to AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning 

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Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training


Nov 23, 2019
Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu

* 9 pages, 6 figures 

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Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging


Sep 11, 2019
Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu


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Sensitivity of Deep Convolutional Networks to Gabor Noise


Jun 11, 2019
Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu

* Accepted to ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena 

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Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks


Sep 30, 2018
Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu

* 15 pages 

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