Aleksandr Petiushko

According to our database, Aleksandr Petiushko authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space.

Anton Razzhigaev, Matvey Mikhalchuk, Klim Kireev, Igor Udovichenko, Andrey Kuznetsov, Aleksandr Petiushko

CoRR, June, 2025

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models.

Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li

CoRR, March, 2025

DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles.

Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving.

Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko

CoRR, 2024

Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications.

Zihan Zhou, Jonathan Booher, Wei Liu, Aleksandr Petiushko, Animesh Garg

CoRR, 2024

2022

NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks.

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov

CoRR, 2022

Geometry-Inspired Top-k Adversarial Perturbations.

Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Smoothed Embeddings for Certified Few-Shot Learning.

Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network.

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations.

Nikita Muravev, Aleksandr Petiushko

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Quadric Hypersurface Intersection for Manifold Learning in Feature Space.

Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks.

Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 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

CoRR, 2021

Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation.

Alexander Ivanov, Gleb V. Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko

CoRR, 2021

Certified Robustness via Randomized Smoothing over Multiplicative Parameters.

Nikita Muravev, Aleksandr Petiushko

CoRR, 2021

Darker than Black-Box: Face Reconstruction from Similarity Queries.

Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko

CoRR, 2021

MDMMT: Multidomain Multimodal Transformer for Video Retrieval.

Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Robustness Threats of Differential Privacy.

Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets

CoRR, 2020

Mutual Modality Learning for Video Action Classification.

Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko

CoRR, 2020

AdvHat: Real-World Adversarial Attack on ArcFace Face ID System.

Stepan Komkov, Aleksandr Petiushko

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Black-Box Face Recovery from Identity Features.

Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

On adversarial patches: real-world attack on ArcFace-100 face recognition system.

Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko

CoRR, 2019

Real-world attack on MTCNN face detection system.

Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko

CoRR, 2019