Apostolos Modas
Apostolos Modas
Research Scientist, Sony AI
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Cited by
Cited by
SparseFool: a few pixels make a big difference
A Modas, SM Moosavi-Dezfooli, P Frossard
CVPR 2019, 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
Hold me tight! Influence of discriminative features on deep network boundaries
G Ortiz-Jimenez*, A Modas*, SM Moosavi-Dezfooli, P Frossard
NeurIPS 2020, 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
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
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
Neural Anisotropy Directions
G Ortiz-Jimenez*, A Modas*, SM Moosavi-Dezfooli, P Frossard
NeurIPS 2020, 2020
Improving filling level classification with adversarial training
A Modas, A Xompero, R Sanchez-Matilla, P Frossard, A Cavallaro
ICIP 2021, 2021
Ethical considerations for responsible data curation
J Andrews, D Zhao, W Thong, A Modas, O Papakyriakopoulos, A Xiang
NeurIPS 2023 (Oral), 2023
Multi-view shape estimation of transparent containers
A Xompero, R Sanchez-Matilla, A Modas, P Frossard, A Cavallaro
ICASSP 2020, 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
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
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
Data augmentation with mixtures of max-entropy transformations for filling-level classification
A Modas, A Cavallaro, P Frossard
EUSIPCO 2022, 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
Robustness and invariance properties of image classifiers
A Modas
EPFL, 2022
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