Heterogeneous Engineering in Intelligent Logistics. - Yury Iskanderov; Mikhail Pautov (HIS, 2019)

Actor-Network Approach to Self-organisation in Global Logistics Networks. - Yury Iskanderov; Mikhail Pautov (IDC, 2019)

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)

Actor-Network Method of Assembling Intelligent Logistics Terminal. - Yury Iskanderov; Mikhail Pautov (CSOC (3), 2020)

Agents and Multi-agent Systems as Actor-networks. - Yury Iskanderov; Mikhail Pautov (ICAART (1), 2020)

Using Boundary Objects and ANT Concepts to Implement Multi-agent Systems as Drivers of Innovation in Logistics. - Yury Iskanderov; Mikhail Pautov (IDC, 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)

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

Translate your gibberish: black-box adversarial attack on machine translation systems. - Andrei Chertkov; Olga Tsymboi; Mikhail Pautov; Ivan V. Oseledets (CoRR, 2023)

General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. - Dmitrii Korzh; Mikhail Pautov; Olga Tsymboi; Ivan V. Oseledets (ECAI, 2024)

Probabilistically Robust Watermarking of Neural Networks. - Mikhail Pautov; Nikita Bogdanov; Stanislav Pyatkin; Oleg Rogov; Ivan V. Oseledets (IJCAI, 2024)

GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. - Andrey V. Galichin; Mikhail Pautov; Alexey Zhavoronkin; Oleg Y. Rogov; Ivan V. Oseledets (CoRR, 2024)

Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples. - Kirill Lukyanov; Andrew I. Perminov; Denis Turdakov; Mikhail Pautov (CoRR, 2024)

Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment. - Ekaterina Shumitskaya; Mikhail Pautov; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2024)

Certification of Speaker Recognition Models to Additive Perturbations. - Dmitrii Korzh; Elvir Karimov; Mikhail Pautov; Oleg Y. Rogov; Ivan V. Oseledets (AAAI, 2025)

GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation. - Andrey V. Galichin; Mikhail Pautov; Alexey Zhavoronkin; Oleg Y. Rogov; Ivan V. Oseledets (IEEE Trans. Inf. Forensics Secur., 2025)

Spread them Apart: Towards Robust Watermarking of Generated Content. - Mikhail Pautov; Danil Ivanov; Andrey V. Galichin; Oleg Rogov; Ivan V. Oseledets (CoRR, 2025)

Watermark Overwriting Attack on StegaStamp algorithm. - I. F. Serzhenko; L. A. Khaertdinova; Mikhail Pautov; Anastasia Antsiferova (CoRR, 2025)