| SparseFool: a few pixels make a big difference A Modas, SM Moosavi-Dezfooli, P Frossard CVPR 2019, 2019 | 222 | 2019 |
| Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness G Ortiz-Jiménez, A Modas, SM Moosavi-Dezfooli, P Frossard Proceedings of the IEEE 109 (5), 635-659, 2021 | 59 | 2021 |
| Hold me tight! Influence of discriminative features on deep network boundaries G Ortiz-Jimenez*, A Modas*, SM Moosavi-Dezfooli, P Frossard NeurIPS 2020, 2020 | 53 | 2020 |
| Benchmark for human-to-robot handovers of unseen containers with unknown filling R Sanchez-Matilla, K Chatzilygeroudis, A Modas, NF Duarte, A Xompero, ... IEEE Robotics and Automation Letters 5 (2), 1642-1649, 2020 | 45 | 2020 |
| Toward robust sensing for Autonomous Vehicles: An adversarial perspective A Modas*, R Sanchez-Matilla*, P Frossard, A Cavallaro IEEE Signal Processing Magazine 37 (4), 14-23, 2020 | 41 | 2020 |
| PRIME: A few primitives can boost robustness to Common Corruptions A Modas*, R Rade*, G Ortiz-Jiménez, SM Moosavi-Dezfooli, P Frossard ECCV 2022, 2022 | 38 | 2022 |
| Ethical considerations for responsible data curation J Andrews, D Zhao, W Thong, A Modas, O Papakyriakopoulos, A Xiang NeurIPS 2023 (Oral), 2023 | 27* | 2023 |
| Neural Anisotropy Directions G Ortiz-Jimenez*, A Modas*, SM Moosavi-Dezfooli, P Frossard NeurIPS 2020, 2020 | 18 | 2020 |
| Improving filling level classification with adversarial training A Modas, A Xompero, R Sanchez-Matilla, P Frossard, A Cavallaro ICIP 2021, 2021 | 14 | 2021 |
| Multi-view shape estimation of transparent containers A Xompero, R Sanchez-Matilla, A Modas, P Frossard, A Cavallaro ICASSP 2020, 2020 | 11 | 2020 |
| The musinet project: Addressing the challenges in networked music performance systems D Akoumianakis, C Alexandraki, V Alexiou, C Anagnostopoulou, ... Information, Intelligence, Systems and Applications (IISA), 2015 6th …, 2015 | 8 | 2015 |
| A neural anisotropic view of underspecification in deep learning G Ortiz-Jimenez, IF Salazar-Reque, A Modas, SM Moosavi-Dezfooli, ... RobustML Workshop (ICLR) 2021, 2021 | 7 | 2021 |
| Redundant features can hurt robustness to distribution shift G Ortiz-Jiménez*, A Modas*, SM Moosavi-Dezfooli, P Frossard Uncertainty & Robustness in Deep Learning Workshop (ICML) 2020, 2020 | 4 | 2020 |
| Data augmentation with mixtures of max-entropy transformations for filling-level classification A Modas, A Cavallaro, P Frossard EUSIPCO 2022, 2022 | 1 | 2022 |
| Shared-variable synchronization approaches for dynamic data flow programs A Modas, S Casale-Brunet, R Stewart, E Bezati, J Ahmad, M Mattavelli IEEE International Workshop on Signal Processing Systems (SiPS), 2018 | 1 | 2018 |
| Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes Y Hirota, JTA Andrew, D Zhao, O Papakyriakopoulos, A Modas, ... EMNLP, 2024 | | 2024 |
| Robustness and invariance properties of image classifiers A Modas EPFL, 2022 | | 2022 |
Pascal FrossardEcole Polytechnique Fédérale de Lausanne, EPFLBestätigte E-Mail-Adresse bei epfl.ch
