Aleksandr Petiushko

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Laplacian Eigenmaps

Manifold Learning

Video Retrieval

Top Venues

ECCV Workshops (5)

Publications

Zihan Zhou, Jonathan Booher, Wei Liu, Aleksandr Petiushko, Animesh Garg
Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications. CoRR (2024)
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 (2024)
Nikita Muravev, Aleksandr Petiushko
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. IJCAI (2022)
Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Geometry-Inspired Top-k Adversarial Perturbations. WACV (2022)
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)
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)
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS (2022)
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Smoothed Embeddings for Certified Few-Shot Learning. CoRR (2022)
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)
Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR (2022)
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeny Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko
Quadric hypersurface intersection for manifold learning in feature space. CoRR (2021)
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 (2021)
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CoRR (2021)
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 (2021)
Nikita Muravev, Aleksandr Petiushko
Certified Robustness via Randomized Smoothing over Multiplicative Parameters. CoRR (2021)
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko
Darker than Black-Box: Face Reconstruction from Similarity Queries. CoRR (2021)
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 (2021)
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CVPR Workshops (2021)
Stepan Komkov, Aleksandr Petiushko
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System. ICPR (2020)
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko
Black-Box Face Recovery from Identity Features. ECCV Workshops (5) (2020)
Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Robustness Threats of Differential Privacy. CoRR (2020)
Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko
Mutual Modality Learning for Video Action Classification. CoRR (2020)
Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
Geometry-Inspired Top-k Adversarial Perturbations. CoRR (2020)
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko
Black-Box Face Recovery from Identity Features. CoRR (2020)
Stepan Komkov, Aleksandr Petiushko
AdvHat: Real-world adversarial attack on ArcFace Face ID system. CoRR (2019)
Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko
On adversarial patches: real-world attack on ArcFace-100 face recognition system. CoRR (2019)
Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko
Real-world attack on MTCNN face detection system. CoRR (2019)