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Klim Kireev
Klim Kireev
Doctoral student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
On the effectiveness of adversarial training against common corruptions
K Kireev, M Andriushchenko, N Flammarion
Uncertainty in Artificial Intelligence, 1012-1021, 2022
302022
Real-world attack on MTCNN face detection system
E Kaziakhmedov, K Kireev, G Melnikov, M Pautov, A Petiushko
2019 International Multi-Conference on Engineering, Computer and Information …, 2019
272019
On adversarial patches: real-world attack on arcface-100 face recognition system
M Pautov, G Melnikov, E Kaziakhmedov, K Kireev, A Petiushko
2019 International Multi-Conference on Engineering, Computer and Information …, 2019
222019
Black-box face recovery from identity features
A Razzhigaev, K Kireev, E Kaziakhmedov, N Tursynbek, A Petiushko
European Conference on Computer Vision, 462-475, 2020
52020
Real-world attack on MTCNN face detection system. 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
E Kaziakhmedov, K Kireev, G Melnikov, M Pautov, A Petiushko
IEEE, 2019
52019
Darker than black-box: Face reconstruction from similarity queries
A Razzhigaev, K Kireev, I Udovichenko, A Petiushko
arXiv preprint arXiv:2106.14290, 2021
12021
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
K Kireev, B Kulynych, C Troncoso
arXiv preprint arXiv:2208.13058, 2022
2022
Reproducibility Report for" On Warm-Starting Neural Network Training"
A Mohtashami, E Pajouheshgar, K Kireev
ML Reproducibility Challenge 2020, 2021
2021
Application of list decoding of convolutional codes in steganography
K Kireev, G Melnikov, E Kaziakhmedov
2019 XVI International Symposium" Problems of Redundancy in Information and …, 2019
2019
Transform-Aware Content Adaptive Stegosystem for Social Networks
K Kireev, G Melnikov, E Kaziakhmedov
Conference of Open Innovations Association, FRUCT, 483-488, 2019
2019
Group ID U13548 Affiliated authors Cherubin, Giovanni
I Coke, K Edalatnejadkhamene, L Girod, K Kireev, B Kulynych, W Lueks, ...
Reproducibility Report for" On Warm-Starting Neural Network Training
K Kireev, A Mohtashami, E Pajouheshgar
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