Byzantine-robust Federated Machine Learning Through Adaptive Model Averaging L Muñoz-González, KT Co, EC Lupu arXiv preprint arXiv:1909.05125, 2019 | 173 | 2019 |
Mapping poverty in the Philippines using machine learning, satellite imagery, and crowd-sourced geospatial information I Tingzon, A Orden, KT Go, S Sy, V Sekara, I Weber, M Fatehkia, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 72 | 2019 |
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks KT Co, L Munoz Gonzalez, S De Maupeou, E Lupu 26th ACM SIGSAC Conference on Computer and Communications Security (CCS 2019), 2019 | 52 | 2019 |
Object Removal Attacks on LiDAR-based 3D Object Detectors Z Hau, KT Co, S Demetriou, EC Lupu NDSS 2021: Automotive and Autonomous Vehicle Security (AutoSec), 2021 | 31 | 2021 |
Determining resilience gains from anomaly detection for event integrity in wireless sensor networks VP Illiano, A Paudice, L Muñoz-González, EC Lupu ACM Transactions on Sensor Networks (TOSN) 14 (1), 1-35, 2018 | 13 | 2018 |
Universal Adversarial Robustness of Texture and Shape-Biased Models KT Co, L Muñoz-González, L Kanthan, B Glocker, EC Lupu 28th IEEE International Conference on Image Processing (ICIP 2021), 2019 | 8 | 2019 |
Bayesian Optimization for Black-Box Evasion of Machine Learning Systems KT Co Imperial College London, 2017 | 8* | 2017 |
Robustness and Transferability of Universal Attacks on Compressed Models AG Matachana, KT Co, L Muñoz-González, D Martinez, EC Lupu AAAI 2021: Towards Robust, Secure, and Efficient Machine Learning, 2020 | 7 | 2020 |
Jacobian regularization for mitigating universal adversarial perturbations KT Co, DM Rego, EC Lupu International Conference on Artificial Neural Networks, 202-213, 2021 | 6 | 2021 |
Byzantine-robust federated machine learning through adaptive model averaging. arXiv 2019 L Muñoz-González, KT Co, EC Lupu arXiv preprint arXiv:1909.05125, 0 | 6 | |
Sensitivity of Deep Convolutional Networks to Gabor Noise KT Co, L Muñoz-González, EC Lupu ICML 2019: On Identifying and Understanding Deep Learning Phenomena, 2019 | 5 | 2019 |
Challenges and Advances in Adversarial Machine Learning L Muñoz-González, J Carnerero-Cano, KT Co, EC Lupu Resilience and Hybrid Threats: Security and Integrity for the Digital World …, 2019 | 4 | 2019 |
HA-Grid: Security Aware Hazard Analysis for Smart Grids L Castiglione, Z Hau, P Ge, K Co, L Munoz Gonzalez, F Teng, E Lupu 13th IEEE International Conference on Communications, Control, and Computing …, 2022 | 3 | 2022 |
Universal Adversarial perturbations to understand robustness of texture vs. shape-biased training KT Co, L Munoz-González, L Kanthan, B Glocker, EC Lupu arXiv preprint arXiv:1911.10364, 2019 | 3 | 2019 |
Mitigation of Adversarial Attacks through Embedded Feature Selection Z Bao, L Muñoz-González, EC Lupu arXiv preprint arXiv:1808.05705, 2018 | 3 | 2018 |
Real-time detection of practical universal adversarial perturbations KT Co, L Muñoz-González, L Kanthan, EC Lupu arXiv preprint arXiv:2105.07334, 2021 | 2 | 2021 |
Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks KT Co, D Martinez-Rego, Z Hau, EC Lupu International Conference on Artificial Neural Networks, 680-691, 2022 | 1 | 2022 |
Understanding and Mitigating Universal Adversarial Perturbations for Computer Vision Neural Networks KT Co Imperial College London, 2023 | | 2023 |