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Aleksandr Petiushko
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2020 – today
- 2024
- [i18]Zihan Zhou, Jonathan Booher, Wei Liu, Aleksandr Petiushko, Animesh Garg:
Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications. CoRR abs/2402.15650 (2024) - [i17]Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko:
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. CoRR abs/2406.08878 (2024) - 2022
- [c9]Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets:
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. AAAI 2022: 7975-7983 - [c8]Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko:
Quadric Hypersurface Intersection for Manifold Learning in Feature Space. AISTATS 2022: 10999-11013 - [c7]Nikita Muravev, Aleksandr Petiushko:
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. IJCAI 2022: 3366-3372 - [c6]Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov:
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS 2022 - [c5]Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS 2022 - [c4]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Geometry-Inspired Top-k Adversarial Perturbations. WACV 2022: 4059-4068 - [i16]Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. CoRR abs/2202.01186 (2022) - [i15]Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov:
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR abs/2202.03101 (2022) - 2021
- [c3]Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko:
MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CVPR Workshops 2021: 3354-3363 - [i14]Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko:
Quadric hypersurface intersection for manifold learning in feature space. CoRR abs/2102.06186 (2021) - [i13]Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko:
MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CoRR abs/2103.10699 (2021) - [i12]Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko:
Darker than Black-Box: Face Reconstruction from Similarity Queries. CoRR abs/2106.14290 (2021) - [i11]Nikita Muravev, Aleksandr Petiushko:
Certified Robustness via Randomized Smoothing over Multiplicative Parameters. CoRR abs/2106.14432 (2021) - [i10]Alexander Ivanov, Gleb V. Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko:
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation. CoRR abs/2107.03903 (2021) - [i9]Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets:
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. CoRR abs/2109.10696 (2021) - [i8]Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko:
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. CoRR abs/2111.10974 (2021) - 2020
- [c2]Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko:
Black-Box Face Recovery from Identity Features. ECCV Workshops (5) 2020: 462-475 - [c1]Stepan Komkov, Aleksandr Petiushko:
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System. ICPR 2020: 819-826 - [i7]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Geometry-Inspired Top-k Adversarial Perturbations. CoRR abs/2006.15669 (2020) - [i6]Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko:
Black-Box Face Recovery from Identity Features. CoRR abs/2007.13635 (2020) - [i5]Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko:
Mutual Modality Learning for Video Action Classification. CoRR abs/2011.02543 (2020) - [i4]Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Robustness Threats of Differential Privacy. CoRR abs/2012.07828 (2020)
2010 – 2019
- 2019
- [i3]Stepan Komkov, Aleksandr Petiushko:
AdvHat: Real-world adversarial attack on ArcFace Face ID system. CoRR abs/1908.08705 (2019) - [i2]Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko:
Real-world attack on MTCNN face detection system. CoRR abs/1910.06261 (2019) - [i1]Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko:
On adversarial patches: real-world attack on ArcFace-100 face recognition system. CoRR abs/1910.07067 (2019)
Coauthor Index
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last updated on 2024-07-10 20:44 CEST by the dblp team
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