Da Ke

11 papers Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CPCAA: Cross-Domain Power Constrained Adversarial Attacks Against Automatic Modulation Classification. IEEE Internet Things J. Tailai Wen, Enlin Chen, Da Ke, Xiang Wang, Zhitao Huang
2025	—	`conf`	Dual-Domain Constraints: Designing Covert and Efficient Adversarial Examples for Secure Communication. VTC2025-Fall Tailai Wen, Da Ke, Xiang Wang, Zhitao Huang
2024	J	`jnl`	Adaptive learning algorithm based price prediction model for auction lots - deep clustering based interval quoting. PeerJ Comput. Sci. Da Ke, Xianhua Fan, Muhammad Asif
2024	J	`jnl`	Deep reinforcement learning models in auction item price prediction: an optimisation study of a cross-interval quotation strategy. PeerJ Comput. Sci. Da Ke, Xianhua Fan
2024	J	`jnl`	Frequency-Selective Adversarial Attack Against Deep Learning-Based Wireless Signal Classifiers. IEEE Trans. Inf. Forensics Secur. Da Ke, Xiang Wang, Zhitao Huang
2023	J	`jnl`	Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning. Cogn. Comput. Da Ke, Xiang Wang, Kaizhu Huang, Haoyuan Wang, Zhitao Huang
2022	J	`jnl`	Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks. Remote. Sens. Liting Sun, Da Ke, Xiang Wang, Zhitao Huang, Kaizhu Huang
2020	J	`jnl`	High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence. IEEE Trans. Ind. Electron. Qingsong Ai, Da Ke, Jie Zuo, Wei Meng, Quan Liu, Zhiqiang Zhang, Sheng Quan Xie
2019	—	`conf`	Application of Adversarial Examples in Communication Modulation Classification. ICDM Workshops Da Ke, Zhitao Huang, Xiang Wang, Liting Sun
2019	J	`jnl`	Blind Detection Techniques for Non-Cooperative Communication Signals Based on Deep Learning. IEEE Access Da Ke, Zhitao Huang, Xiang Wang, Xueqiong Li
2017	—	`conf`	Fuzzy PD-Type Iterative Learning Control of a Single Pneumatic Muscle Actuator. ICIRA (2) Da Ke, Qingsong Ai, Wei Meng, Congsheng Zhang, Quan Liu

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.