Real-world attack on MTCNN face detection system. - Edgar Kaziakhmedov; Klim Kireev; Grigorii Melnikov; Mikhail Pautov; Aleksandr Petiushko (CoRR, 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)

Black-Box Face Recovery from Identity Features. - Anton Razzhigaev; Klim Kireev; Edgar Kaziakhmedov; Nurislam Tursynbek; Aleksandr Petiushko (ECCV Workshops (5), 2020)

AdvHat: Real-World Adversarial Attack on ArcFace Face ID System. - Stepan Komkov; Aleksandr Petiushko (ICPR, 2020)

Mutual Modality Learning for Video Action Classification. - Stepan Komkov; Maksim Dzabraev; Aleksandr Petiushko (CoRR, 2020)

Robustness Threats of Differential Privacy. - Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (CoRR, 2020)

MDMMT: Multidomain Multimodal Transformer for Video Retrieval. - Maksim Dzabraev; Maksim Kalashnikov; Stepan Komkov; Aleksandr Petiushko (CVPR Workshops, 2021)

Darker than Black-Box: Face Reconstruction from Similarity Queries. - Anton Razzhigaev; Klim Kireev; Igor Udovichenko; Aleksandr Petiushko (CoRR, 2021)

Certified Robustness via Randomized Smoothing over Multiplicative Parameters. - Nikita Muravev; 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)

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; et al. (CoRR, 2021)

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 (AAAI, 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 (AISTATS, 2022)

Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. - Nikita Muravev; Aleksandr Petiushko (IJCAI, 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 (NeurIPS, 2022)

Smoothed Embeddings for Certified Few-Shot Learning. - Mikhail Pautov; Olesya Kuznetsova; Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (NeurIPS, 2022)

Geometry-Inspired Top-k Adversarial Perturbations. - Nurislam Tursynbek; Aleksandr Petiushko; Ivan V. Oseledets (WACV, 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)

Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications. - Zihan Zhou; Jonathan Booher; Wei Liu; Aleksandr Petiushko; Animesh Garg (CoRR, 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)

DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles. - Chejian Xu; Aleksandr Petiushko; Ding Zhao; Bo Li (AAAI, 2025)

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models. - Jiawei Zhang; Xuan Yang; Taiqi Wang; Yu Yao; Aleksandr Petiushko; Bo Li (CoRR, 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, 2025)