Georgii Mikriukov

22 papers B 1Misc 1Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings. CoRR Gesina Schwalbe, Mert Keser, Moritz Bayerkuhnlein, Edgar Heinert, Annika Mütze, Marvin Keller, Sparsh Tiwari, Georgii Mikriukov, Diedrich Wolter, Jae Hee Lee, Matthias Rottmann
2026	J	`jnl`	Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence. CoRR Georgii Mikriukov, Grégoire Montavon, Marina M.-C. Höhne
2025	J	`jnl`	Correction: Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces. Int. J. Comput. Vis. Georgii Mikriukov, Gesina Schwalbe, Korinna Bade
2025	J	`jnl`	Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces. Int. J. Comput. Vis. Georgii Mikriukov, Gesina Schwalbe, Korinna Bade
2025	—	`conf`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. xAI (4) Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2025	J	`jnl`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. CoRR Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2024	—	`conf`	Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? ECCV Workshops (21) Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter
2024	J	`jnl`	Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? CoRR Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter
2024	—	`conf`	Locally Testing Model Detections for Semantic Global Concepts. xAI (1) Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid
2024	J	`jnl`	Locally Testing Model Detections for Semantic Global Concepts. CoRR Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid
2024	J	`jnl`	The Anatomy of Adversarial Attacks: Concept-based XAI Dissection. CoRR Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade
2024	—	`conf`	Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs. xAI (1) Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade
2023	—	`conf`	Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability. xAI (2) Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
2023	J	`jnl`	Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability. CoRR Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
2023	J	`jnl`	GCPV: Guided Concept Projection Vectors for the Explainable Inspection of CNN Feature Spaces. CoRR Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
2023	J	`jnl`	Quantified Semantic Comparison of Convolutional Neural Networks. CoRR Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
2023	—	`conf`	Revealing Similar Semantics Inside CNNs: An Interpretable Concept-Based Comparison of Feature Spaces. PKDD/ECML Workshops (1) Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
2022	B	`conf`	An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. ICIP Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	Misc	`conf`	Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. ICASSP Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir

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.