Aleksandr Petiushko

32 papers A* 6A 2B 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles. AAAI Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li
2025	J	`jnl`	Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space. CoRR Anton Razzhigaev, Matvey Mikhalchuk, Klim Kireev, Igor Udovichenko, Andrey Kuznetsov, Aleksandr Petiushko
2025	J	`jnl`	Real-World Transferable Adversarial Attack on Face-Recognition Systems. CoRR Andrey Kaznacheev, Matvey Mikhalchuk, Andrey Kuznetsov, Aleksandr Petiushko, Anton Razzhigaev
2025	A*	`conf`	SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models. ICML Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li
2025	J	`jnl`	SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models. CoRR Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li
2024	J	`jnl`	CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. CoRR Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko
2024	J	`jnl`	Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications. CoRR Zihan Zhou, Jonathan Booher, Wei Liu, Aleksandr Petiushko, Animesh Garg
2022	A*	`conf`	CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. AAAI Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2022	A*	`conf`	Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. IJCAI Nikita Muravev, Aleksandr Petiushko
2022	A	`conf`	Geometry-Inspired Top-k Adversarial Perturbations. WACV Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2022	J	`jnl`	NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
2022	A*	`conf`	Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
2022	A	`conf`	Quadric Hypersurface Intersection for Manifold Learning in Feature Space. AISTATS Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko
2022	A*	`conf`	Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2022	J	`jnl`	Smoothed Embeddings for Certified Few-Shot Learning. CoRR Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2021	J	`jnl`	CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. CoRR Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2021	J	`jnl`	Certified Robustness via Randomized Smoothing over Multiplicative Parameters. CoRR Nikita Muravev, Aleksandr Petiushko
2021	J	`jnl`	Darker than Black-Box: Face Reconstruction from Similarity Queries. CoRR Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko
2021	—	`conf`	MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CVPR Workshops Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
2021	J	`jnl`	MDMMT: Multidomain Multimodal Transformer for Video Retrieval. CoRR Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
2021	J	`jnl`	Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation. CoRR Alexander Ivanov, Gleb V. Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko
2021	J	`jnl`	Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. CoRR 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
2021	J	`jnl`	Quadric hypersurface intersection for manifold learning in feature space. CoRR Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko
2020	B	`conf`	AdvHat: Real-World Adversarial Attack on ArcFace Face ID System. ICPR Stepan Komkov, Aleksandr Petiushko
2020	—	`conf`	Black-Box Face Recovery from Identity Features. ECCV Workshops (5) Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko
2020	J	`jnl`	Black-Box Face Recovery from Identity Features. CoRR Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko
2020	J	`jnl`	Geometry-Inspired Top-k Adversarial Perturbations. CoRR Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2020	J	`jnl`	Mutual Modality Learning for Video Action Classification. CoRR Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko
2020	J	`jnl`	Robustness Threats of Differential Privacy. CoRR Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2019	J	`jnl`	AdvHat: Real-world adversarial attack on ArcFace Face ID system. CoRR Stepan Komkov, Aleksandr Petiushko
2019	J	`jnl`	On adversarial patches: real-world attack on ArcFace-100 face recognition system. CoRR Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko
2019	J	`jnl`	Real-world attack on MTCNN face detection system. CoRR Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko