Oleg Y. Rogov - RankMe

28 papers A* 1Misc 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probabilistic Verification of Voice Anti-Spoofing Models. CoRR Evgeny Kushnir, Alexandr Kozodaev, Dmitrii Korzh, Mikhail Pautov, Oleg Kiriukhin, Oleg Y. Rogov
2026	J	`jnl`	Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning. CoRR Artem Dvirniak, Evgeny Kushnir, Dmitrii Tarasov, Artyom Iudin, Oleg Kiriukhin, Mikhail Pautov, Dmitrii Korzh, Oleg Y. Rogov
2025	A*	`conf`	Certification of Speaker Recognition Models to Additive Perturbations. AAAI Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration. CoRR Suraj Singh, Anastasia Batsheva, Oleg Y. Rogov, Ahmed Bouridane
2025	J	`jnl`	FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
2025	J	`jnl`	GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation. IEEE Trans. Inf. Forensics Secur. Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. CoRR Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny, Elvir Karimov, Artyom Iudin, Ivan V. Oseledets, Oleg Y. Rogov, Natalia V. Loukachevitch, Alexander Panchenko, Elena Tutubalina
2025	J	`jnl`	HAMSA: Hijacking Aligned Compact Models via Stealthy Automation. CoRR Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, Maryam Douiba, Azidine Guezzaz, Vladimir Kokh, Sergey D. Erokhin, Elena Tutubalina, Oleg Y. Rogov
2025	J	`jnl`	I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. CoRR Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Y. Rogov, Elena Tutubalina, Ivan V. Oseledets
2025	J	`jnl`	Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy. CoRR Elvir Karimov, Alexander Varlamov, Danil Ivanov, Dmitrii Korzh, Oleg Y. Rogov
2025	J	`jnl`	Optimal Hyperspectral Undersampling Strategy for Satellite Imaging. CoRR Vita V. Vlasova, Vladimir G. Kuzmin, Maria S. Varetsa, Natalia A. Ibragimova, Oleg Y. Rogov, Elena V. Lyapuntsova
2025	J	`jnl`	Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences. CoRR Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	The Rogue Scalpel: Activation Steering Compromises LLM Safety. CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina
2024	J	`jnl`	AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge. CoRR Kirill Borodin, Vasiliy Kudryavtsev, Dmitrii Korzh, Alexey Efimenko, Grach Mkrtchian, Mikhail Gorodnichev, Oleg Y. Rogov
2024	J	`jnl`	CLEAR: Character Unlearning in Textual and Visual Modalities. CoRR Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina
2024	J	`jnl`	Certification of Speaker Recognition Models to Additive Perturbations. CoRR Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets
2024	J	`jnl`	GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. CoRR Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets
2023	Misc	`conf`	DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images. AIST Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
2023	J	`jnl`	DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images. CoRR Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
2023	J	`jnl`	Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning. IEEE Access Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
2023	J	`jnl`	FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
2022	J	`jnl`	Adaptive Denoising and Alignment Agents for Infrared Imaging. IEEE Control. Syst. Lett. Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov
2022	—	`conf`	Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. MICCAI (6) Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov
2022	J	`jnl`	Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. CoRR Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob K. White, Dmitry V. Dylov
2022	J	`jnl`	Medical Image Captioning via Generative Pretrained Transformers. CoRR Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
2022	—	`conf`	Optimal MRI Undersampling Patterns for Pathology Localization. MICCAI (6) Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
2021	J	`jnl`	Decentralized Autofocusing System with Hierarchical Agents. CoRR Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
2021	J	`jnl`	Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. CoRR Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.