Oleg Rogov

According to our database, Oleg Rogov authored at least 38 papers between 2020 and 2026.

Collaborative distances:

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

2026

LLM-Guided Prompt Evolution for Password Guessing.

Vladimir A. Mazin, Mikhail A. Zorin, Dmitrii S. Korzh, Elvir Z. Karimov, Dmitrii A. Bolokhov, Oleg Y. Rogov

CoRR, April, 2026

Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning.

Artem Dvirniak, Evgeny Kushnir, Dmitrii Tarasov, Artyom Iudin, Oleg Kiriukhin, Mikhail Pautov, Dmitrii Korzh, Oleg Y. Rogov

CoRR, March, 2026

Probabilistic Verification of Voice Anti-Spoofing Models.

Evgeny Kushnir, Alexandr Kozodaev, Dmitrii Korzh, Mikhail Pautov, Oleg Kiriukhin, Oleg Y. Rogov

CoRR, March, 2026

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?

Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina

CoRR, February, 2026

Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation.

Ahmed Bouridane, Nabil Hezil, Rifat Hamoudi, Somaya Al-Máadeed, Oleg Y. Rogov

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Feature Drift: How Fine-Tuning Repurposes Representations in LLMs.

Andrey V. Galichin, Anton Korznikov, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders.

Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs.

Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov

CoRR, October, 2025

The Rogue Scalpel: Activation Steering Compromises LLM Safety.

Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina

CoRR, September, 2025

OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features.

Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets

CoRR, September, 2025

HAMSA: Hijacking Aligned Compact Models via Stealthy Automation.

Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, Maryam Douiba, Azidine Guezzaz, Vladimir Kokh, Sergey D. Erokhin, Elena Tutubalina, Oleg Y. Rogov

CoRR, August, 2025

Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences.

Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Y. Rogov, Ivan V. Oseledets

CoRR, August, 2025

A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models.

Kirill Borodin, Nikita Vasiliev, Vasiliy Kudryavtsev, Maxim V. Maslov, Mikhail Gorodnichev, Oleg Rogov, Grach Mkrtchian

CoRR, July, 2025

Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation.

Nabil Hezil, Suraj Singh, Vita V. Vlasova, Oleg Rogov, Ahmed Bouridane, Rifat Hamoudi

CoRR, June, 2025

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models.

Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny, Elvir Karimov, Artyom Iudin, Ivan V. Oseledets, Oleg Y. Rogov, Natalia V. Loukachevitch, Alexander Panchenko, Elena Tutubalina

CoRR, June, 2025

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging.

Vita V. Vlasova, Vladimir G. Kuzmin, Maria S. Varetsa, Natalia A. Ibragimova, Oleg Y. Rogov, Elena V. Lyapuntsova

CoRR, April, 2025

DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration.

Suraj Singh, Anastasia Batsheva, Oleg Y. Rogov, Ahmed Bouridane

CoRR, March, 2025

Spread them Apart: Towards Robust Watermarking of Generated Content.

Mikhail Pautov, Danil Ivanov, Andrey V. Galichin, Oleg Rogov, Ivan V. Oseledets

CoRR, February, 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

FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures.

Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi

Pattern Recognit. Lett., 2025

Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy.

Elvir Karimov, Alexander Varlamov, Danil Ivanov, Dmitrii Korzh, Oleg Rogov

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

CLEAR: Character Unlearning in Textual and Visual Modalities.

Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Certification of Speaker Recognition Models to Additive Perturbations.

Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge.

Kirill Borodin, Vasiliy Kudryavtsev, Dmitrii Korzh, Alexey Efimenko, Grach Mkrtchian, Mikhail Gorodnichev, Oleg Y. Rogov

CoRR, 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

Suppressing Modulation Instability with Reinforcement Learning.

Nikolay I. Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey G. Rykovanov, Dmitry V. Dylov

CoRR, 2024

Probabilistically Robust Watermarking of Neural Networks.

Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning.

Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov

IEEE Access, 2023

DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images.

Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

Adaptive Denoising and Alignment Agents for Infrared Imaging.

Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov

IEEE Control. Syst. Lett., 2022

Medical Image Captioning via Generative Pretrained Transformers.

Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov

CoRR, 2022

Optimal MRI Undersampling Patterns for Pathology Localization.

Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging.

Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Decentralized Autofocusing System with Hierarchical Agents.

Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov

CoRR, 2021

Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks.

Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov

CoRR, 2021

2020

Learnable Hollow Kernels for Anatomical Segmentation.

Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov

CoRR, 2020

Deep Negative Volume Segmentation.

Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov

CoRR, 2020

Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning.

Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov

Proceedings of the 16th International Conference on Control, 2020