Daniel Kasenberg

21 papers A* 3A 1B 2C 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering Differences in Strategic Behavior Between Humans and LLMs. CoRR Caroline Wang, Daniel Kasenberg, Kim Stachenfeld, Pablo Samuel Castro
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2024	B	`conf`	Using Puzzle Video Games to Study Cognitive Processes in Human Insight and Creative Problem-Solving. CogSci Vasanth Sarathy, Nicholas Rabb, Daniel Kasenberg, Matthias Scheutz
2021	J	`jnl`	Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems. ACM Trans. Hum. Robot Interact. Thomas Arnold, Daniel Kasenberg, Matthias Scheutz
2021	A	`conf`	SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. AAMAS Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz
2020	A*	`conf`	Generating Explanations for Temporal Logic Planner Decisions. ICAPS Daniel Kasenberg, Ravenna Thielstrom, Matthias Scheutz
2020	J	`jnl`	SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. CoRR Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz
2020	A*	`conf`	Simultaneous Representation of Knowledge and Belief for Epistemic Planning with Belief Revision. KR David Buckingham, Daniel Kasenberg, Matthias Scheutz
2019	J	`jnl`	Engaging in Dialogue about an Agent's Norms and Behaviors. CoRR Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz
2019	J	`jnl`	Generating Justifications for Norm-Related Agent Decisions. CoRR Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz
2019	B	`conf`	Generating justifications for norm-related agent decisions. INLG Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz
2018	—	`conf`	Inferring and Obeying Norms in Temporal Logic. HRI (Companion) Daniel Kasenberg
2018	C	`conf`	Inverse Norm Conflict Resolution. AIES Daniel Kasenberg, Matthias Scheutz
2018	C	`conf`	Learning and Obeying Conflicting Norms in Stochastic Domains. AIES Daniel Kasenberg
2018	A*	`conf`	Norm Conflict Resolution in Stochastic Domains. AAAI Daniel Kasenberg, Matthias Scheutz
2018	C	`conf`	Norms, Rewards, and the Intentional Stance: Comparing Machine Learning Approaches to Ethical Training. AIES Daniel Kasenberg, Thomas Arnold, Matthias Scheutz
2018	J	`jnl`	Quasi-Dilemmas for Artificial Moral Agents. CoRR Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold, Matthias Scheutz, Tom Williams
2017	J	`jnl`	Interpretable Apprenticship Learning with Temporal Logic Specifications. CoRR Daniel Kasenberg, Matthias Scheutz
2017	—	`conf`	Interpretable apprenticeship learning with temporal logic specifications. CDC Daniel Kasenberg, Matthias Scheutz
2017	J	`jnl`	Stochastic Planning with Conflicting Temporal Logic Goals. CoRR Daniel Kasenberg, Matthias Scheutz
2017	—	`conf`	Value Alignment or Misalignment - What Will Keep Systems Accountable? AAAI Workshops Thomas Arnold, Daniel Kasenberg, Matthias Scheutz

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.