Samuel G. B. Johnson

19 papers B 17Journal 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Imagining and building wise machines: The centrality of AI metacognition. CoRR Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio, Nick Chater, Tobias Gerstenberg, Kate Larson, Sydney Levine, Melanie Mitchell, Iyad Rahwan, Bernhard Schölkopf, Igor Grossmann
2024	B	`conf`	Intuitive Theories of Cognition on Affect and Risk Preferences. CogSci Dogukan Demircioglu, Chris Dawson, Samuel G. B. Johnson
2017	B	`conf`	Opponent Uses of Simplicity and Complexity in Causal Explanation. CogSci Samuel G. B. Johnson, J. J. Valenti, Frank C. Keil
2017	B	`conf`	Principles Used to Evaluate Mathematical Explanations. CogSci Samuel G. B. Johnson, Angie Johnston, Marissa Koven, Frank Keil
2017	B	`conf`	Statistical and Mechanistic Information in Evaluating Causal Claims. CogSci Samuel G. B. Johnson, Frank C. Keil
2016	B	`conf`	Decision-Making and Biases in Causal-Explanatory Reasoning. CogSci Samuel G. B. Johnson, Marianna Zhang, Frank Keil
2016	B	`conf`	Explanatory Biases in Social Categorization. CogSci Samuel G. B. Johnson, Haylie Kim, Frank Keil
2016	B	`conf`	The Determinants of Knowability. CogSci Samuel G. B. Johnson, Kristen Kim, Frank Keil
2015	B	`conf`	Argument Scope in Inductive Reasoning: Evidence for an Abductive Account of Induction. CogSci Samuel G. B. Johnson, Thomas Merchant, Frank Keil
2015	B	`conf`	Behaviorist Thinking in Judgments of Wrongness, Punishment, and Blame. CogSci Julian De Freitas, Samuel G. B. Johnson
2015	B	`conf`	Belief Utility as an Explanatory Virtue. CogSci Samuel G. B. Johnson, Greeshma Rajeev-Kumar, Frank Keil
2015	J	`jnl`	Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment. Cogn. Sci. Samuel G. B. Johnson, Woo-kyoung Ahn
2015	B	`conf`	Predictions from Uncertain Beliefs. CogSci Samuel G. B. Johnson, Thomas Merchant, Frank Keil
2015	B	`conf`	Probabilistic Versus Heuristic Accounts of Explanation in Children: Evidence from a Latent Scope Bias. CogSci Angie Johnston, Samuel G. B. Johnson, Marissa Koven, Frank Keil
2014	B	`conf`	Explanatory Scope Informs Causal Strength Inferences. CogSci Samuel G. B. Johnson, Angie Johnston, Amy Toig, Frank Keil
2014	B	`conf`	Inferred Evidence in Latent Scope Explanations. CogSci Samuel G. B. Johnson, Greeshma Rajeev-Kumar, Frank Keil
2014	B	`conf`	Predicting Behavior from the World: Naive Behaviorism in Lay Decision Theory. CogSci Samuel G. B. Johnson, Lance J. Rips
2014	B	`conf`	Simplicity and Goodness-of-Fit in Explanation: The Case of Intuitive Curve-Fitting. CogSci Samuel G. B. Johnson, Andy Jin, Frank Keil
2013	B	`conf`	Good Decisions, Good Causes: Optimality as a Constraint on Attribution of Causal Responsibility. CogSci Samuel G. B. Johnson, Lance J. Rips

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.