Daniel Csillag

13 papers A* 3A 2Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Avoid What You Know: Divergent Trajectory Balance for GFlowNets. CoRR Pedro Dall'Antonia, Tiago da Silva, Daniel Csillag, Salem Lahlou, Diego Mesquita
2025	J	`jnl`	Adaptive Training of INRs via Pruning and Densification. CoRR Diana Aldana, João Paulo Lima, Daniel Csillag, Daniel Perazzo, Haoan Feng, Luiz Velho, Tiago Novello
2025	J	`jnl`	Differentially Private E-Values. CoRR Daniel Csillag, Diego Mesquita
2025	J	`jnl`	Extending Prediction-Powered Inference through Conformal Prediction. CoRR Daniel Csillag, Pedro Dall'Antonia, Cláudio José Struchiner, Guilherme Tegoni Goedert
2025	J	`jnl`	Image Super-Resolution with Guarantees via Conformal Generative Models. CoRR Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
2025	A*	`conf`	Prediction-Powered E-Values. ICML Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2025	J	`jnl`	Prediction-Powered E-Values. CoRR Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2025	A	`conf`	Strategic Conformal Prediction. AISTATS Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2024	A*	`conf`	Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis. ICML Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2024	J	`jnl`	Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis. CoRR Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2024	J	`jnl`	Strategic Conformal Prediction. CoRR Daniel Csillag, Cláudio José Struchiner, Guilherme Tegoni Goedert
2023	A*	`conf`	AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. AAAI Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein
2022	A	`conf`	ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics. AISTATS Daniel Csillag, Carolina Piazza, Thiago Ramos, João Vitor Romano, Roberto I. Oliveira, Paulo Orenstein

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.