Daniel Melcer

11 papers A* 3A 3Journal 4Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Safe Multi-Agent Learning via Shielding in Decentralized Environments. AAMAS Daniel Melcer
2025	J	`jnl`	Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization. CoRR Daniel Melcer, Qi Chen, Wen-Hao Chiang, Shweta Garg, Pranav Garg, Christian Bock
2024	J	`jnl`	Approximately Aligned Decoding. CoRR Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars. CoRR Daniel Melcer, Nathan Fulton, Sanjay Krishna Gouda, Haifeng Qian
2024	A	`conf`	Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments. AAMAS Daniel Melcer, Christopher Amato, Stavros Tripakis
2024	J	`jnl`	Shield Decomposition for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments. RLJ Daniel Melcer, Christopher Amato, Stavros Tripakis
2022	A*	`conf`	Multi-Agent Tree Search with Dynamic Reward Shaping. ICAPS Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri, George K. Atia
2022	A*	`conf`	Shield Decentralization for Safe Multi-Agent Reinforcement Learning. NeurIPS Daniel Melcer, Christopher Amato, Stavros Tripakis
2021	A*	`conf`	Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. AAAI Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia
2021	—	`conf`	ProofViz: An Interactive Visual Proof Explorer. TFP Daniel Melcer, Stephen Chang
2020	A	`conf`	Verification-Guided Tree Search. AAMAS Alvaro Velasquez, Daniel Melcer

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.