Oguzhan Akcin

15 papers A* 1C 1Misc 4Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
A Challenge to Build Neuro-Symbolic Video Agents.
NeuS
Sahil Shah, Harsh Goel, Sai Shankar Narasimhan, Minkyu Choi, S. P. Sharan, Oguzhan Akcin, Sandeep Chinchali
2025 J jnl
A Challenge to Build Neuro-Symbolic Video Agents.
CoRR
Sahil Shah, Harsh Goel, Sai Shankar Narasimhan, Minkyu Choi, S. P. Sharan, Oguzhan Akcin, Sandeep Chinchali
2024 — conf
ControlPay: An Adaptive Payment Controller for Blockchain Economies.
Blockchain
Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali
2024 Misc conf
Fleet Supervisor Allocation: A Submodular Maximization Approach.
CoRL
Oguzhan Akcin, Ahmet Ege Tanriverdi, Kaan Kale, Sandeep P. Chinchali
2024 J jnl
Optimization-Free Image Immunization Against Diffusion-Based Editing.
CoRR
Tarik Can Ozden, Ozgur Kara, Oguzhan Akcin, Kerem Zaman, Shashank Srivastava, Sandeep P. Chinchali, James M. Rehg
2024 J jnl
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models.
CoRR
Harsh Goel, Sai Shankar Narasimhan, Oguzhan Akcin, Sandeep Chinchali
2024 A* conf
Time Weaver: A Conditional Time Series Generation Model.
ICML
Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali
2024 J jnl
Time Weaver: A Conditional Time Series Generation Model.
CoRR
Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep Chinchali
2023 J jnl
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection.
CoRR
Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep Chinchali
2023 Misc conf
Fleet Active Learning: A Submodular Maximization Approach.
CoRL
Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali
2022 J jnl
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics.
CoRR
Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali
2022 J jnl
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics.
IACR Cryptol. ePrint Arch.
Oguzhan Akcin, Robert P. Streit, Benjamin Oommen, Sriram Vishwanath, Sandeep Chinchali
2022 Misc conf
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach.
CoRL
Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali
2022 C conf
Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives.
IGARSS
Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir
2021 Misc conf
Decentralized Sharing and Valuation of Fleet Robotic Data.
CoRL
Yuchong Geng, Dongyue Zhang, Po-han Li, Oguzhan Akcin, Ao Tang, Sandeep P. Chinchali

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.