Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. - Kenneth T. Co; Luis Muñoz-González; Emil C. Lupu (CoRR, 2018)

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks. - Kenneth T. Co; Luis Muñoz-González; Sixte de Maupeou; Emil C. Lupu (CCS, 2019)

Sensitivity of Deep Convolutional Networks to Gabor Noise. - Kenneth T. Co; Luis Muñoz-González; Emil C. Lupu (CoRR, 2019)

Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging. - Luis Muñoz-González; Kenneth T. Co; Emil C. Lupu (CoRR, 2019)

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (CoRR, 2019)

Robustness and Transferability of Universal Attacks on Compressed Models. - Alberto G. Matachana; Kenneth T. Co; Luis Muñoz-González; David Martínez-Rego; Emil C. Lupu (CoRR, 2020)

Jacobian Regularization for Mitigating Universal Adversarial Perturbations. - Kenneth T. Co; David Martínez-Rego; Emil C. Lupu (ICANN (4), 2021)

Universal Adversarial Robustness of Texture and Shape-Biased Models. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (ICIP, 2021)

Object Removal Attacks on LiDAR-based 3D Object Detectors. - Zhongyuan Hau; Kenneth T. Co; Soteris Demetriou; Emil C. Lupu (CoRR, 2021)

Real-time Detection of Practical Universal Adversarial Perturbations. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Emil C. Lupu (CoRR, 2021)

Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks. - Kenneth T. Co; David Martínez-Rego; Zhongyuan Hau; Emil C. Lupu (ICANN (3), 2022)

HA-Grid: Security Aware Hazard Analysis for Smart Grids. - Luca Maria Castiglione; Zhongyuan Hau; Pudong Ge; Kenneth T. Co; Luis Muñoz-González; Fei Teng 005; Emil Lupu (SmartGridComm, 2022)