Daniel Halpern

43 papers A* 18B 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fair Division Under Inaccurate Preferences. CoRR Trung Dang, Daniel Halpern, Anuran Makur, Alexandros Psomas, Japneet Singh, Paritosh Verma
2026	J	`jnl`	Linear Social Choice with Few Queries: A Moment-Based Approach. CoRR Luise Ge, Daniel Halpern, Gregory Kehne, Yevgeniy Vorobeychik
2026	J	`jnl`	Robust AI Evaluation through Maximal Lotteries. CoRR Hadi Khalaf, Serena L. Wang, Daniel Halpern, Itai Shapira, Flávio du Pin Calmon, Ariel D. Procaccia
2026	J	`jnl`	Truthful Fair Division under Stochastic Valuations. CoRR Daniel Halpern, Alexandros Psomas, Shirley Zhang
2025	J	`jnl`	Dynamic Fair Division with Partial Information. Oper. Res. Gerdus Benadè, Daniel Halpern, Alex Psomas
2025	A*	`conf`	Federated Assemblies. AAAI Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon
2025	A*	`conf`	Online Envy Minimization and Multicolor Discrepancy: Equivalences and Separations. EC Daniel Halpern, Alexandros Psomas, Paritosh Verma, Daniel Xie
2025	J	`jnl`	Online Envy Minimization and Multicolor Discrepancy: Equivalences and Separations. CoRR Daniel Halpern, Alexandros Psomas, Paritosh Verma, Daniel Xie
2025	J	`jnl`	Pairwise Calibrated Rewards for Pluralistic Alignment. CoRR Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira
2025	A*	`conf`	The Proportional Veto Principle for Approval Ballots. IJCAI Daniel Halpern, Ariel D. Procaccia, Warut Suksompong
2025	J	`jnl`	The Proportional Veto Principle for Approval Ballots. CoRR Daniel Halpern, Ariel D. Procaccia, Warut Suksompong
2025	J	`jnl`	Tracking Truth with Liquid Democracy. Manag. Sci. Adam J. Berinsky, Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel
2024	A*	`conf`	Axioms for AI Alignment from Human Feedback. NeurIPS Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
2024	J	`jnl`	Axioms for AI Alignment from Human Feedback. CoRR Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
2024	A*	`conf`	Computing Voting Rules with Elicited Incomplete Votes. EC Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz
2024	J	`jnl`	Computing Voting Rules with Elicited Incomplete Votes. CoRR Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz
2024	J	`jnl`	Federated Assemblies. CoRR Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon
2024	A*	`conf`	Metric Distortion with Elicited Pairwise Comparisons. IJCAI Soroush Ebadian, Daniel Halpern, Evi Micha
2024	A*	`conf`	On the Existence of Envy-Free Allocations Beyond Additive Valuations. EC Gerdus Benade, Daniel Halpern, Alexandros Psomas, Paritosh Verma
2024	A*	`conf`	Optimal Engagement-Diversity Tradeoffs in Social Media. WWW Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wüthrich
2023	A*	`conf`	In Defense of Liquid Democracy. EC Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel
2023	J	`jnl`	On the Existence of Envy-Free Allocations Beyond Additive Valuations. CoRR Gerdus Benadè, Daniel Halpern, Alexandros Psomas, Paritosh Verma
2023	J	`jnl`	Optimal Engagement-Diversity Tradeoffs in Social Media. CoRR Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wuthrich
2023	A*	`conf`	Representation with Incomplete Votes. AAAI Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich
2023	—	`conf`	Smoothed Analysis of Social Choice Revisited. WINE Bailey Flanigan, Daniel Halpern, Alexandros Psomas
2023	A*	`conf`	Strategyproof Voting under Correlated Beliefs. NeurIPS Daniel Halpern, Rachel Li, Ariel D. Procaccia
2022	A*	`conf`	Can Buyers Reveal for a Better Deal? IJCAI Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz
2022	A*	`conf`	Distortion in Voting with Top-t Preferences. IJCAI Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah
2022	A*	`conf`	Dynamic Fair Division with Partial Information. NeurIPS Gerdus Benadè, Daniel Halpern, Alexandros Psomas
2022	A*	`conf`	How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. AAAI Manon Revel, Tao Lin, Daniel Halpern
2022	J	`jnl`	Representation with Incomplete Votes. CoRR Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich
2022	J	`jnl`	Smoothed Analysis of Social Choice Revisited. CoRR Bailey Flanigan, Daniel Halpern, Alexandros Psomas
2021	A*	`conf`	Aggregating Binary Judgments Ranked by Accuracy. AAAI Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron
2021	J	`jnl`	Can Buyers Reveal for a Better Deal? CoRR Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz
2021	A*	`conf`	Fair and Efficient Resource Allocation with Partial Information. IJCAI Daniel Halpern, Nisarg Shah
2021	J	`jnl`	Fair and Efficient Resource Allocation with Partial Information. CoRR Daniel Halpern, Nisarg Shah
2021	J	`jnl`	In Defense of Fluid Democracy. CoRR Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel
2021	J	`jnl`	The Optimal Size of an Epistemic Congress. CoRR Manon Revel, Tao Lin, Daniel Halpern
2020	—	`conf`	Fair Division with Binary Valuations: One Rule to Rule Them All. WINE Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah
2020	J	`jnl`	Fair Division with Binary Valuations: One Rule to Rule Them All. CoRR Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah
2020	A*	`conf`	Resolving the Optimal Metric Distortion Conjecture. FOCS Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah
2020	J	`jnl`	Resolving the Optimal Metric Distortion Conjecture. CoRR Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah
2019	B	`conf`	Fair Division with Subsidy. SAGT Daniel Halpern, Nisarg Shah

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.