Omer Ben-Porat

63 papers A* 18B 1Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contests with Spillovers: Incentivizing Content Creation with GenAI. CoRR Sagi Ohayon, Boaz Taitler, Omer Ben-Porat
2026	J	`jnl`	From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums. CoRR Niv Fono, Yftah Ziser, Omer Ben-Porat
2026	J	`jnl`	LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems. CoRR Or Bachar, Or Levi, Sardhendu Mishra, Adi Levi, Manpreet Singh Minhas, Justin Miller, Omer Ben-Porat, Eilon Sheetrit, Jonathan Morra
2026	A*	`conf`	Strategic Content Creation with GenAI: To Share or Not to Share? WWW Gur Keinan, Omer Ben-Porat
2026	J	`jnl`	Truthful Reporting of Competence with Minimal Verification. CoRR Reshef Meir, Jonathan Wagner, Omer Ben-Porat
2025	A*	`conf`	Aegis: Tethering a Blockchain with Primary-Chain Stake. CCS Yogev Bar-On, Roi Bar Zur, Omer Ben-Porat, Nimrod Cohen, Ittay Eyal, Matan Sitbon
2025	J	`jnl`	Assessing Policy Updates: Toward Trust-Preserving Intelligent User Interfaces. CoRR Matan Solomon, Ofra Amir, Omer Ben-Porat
2025	J	`jnl`	Bandits with Single-Peaked Preferences and Limited Resources. CoRR Gur Keinan, Rotem Torkan, Omer Ben-Porat
2025	A*	`conf`	Braess's Paradox of Generative AI. AAAI Boaz Taitler, Omer Ben-Porat
2025	J	`jnl`	Churn-Aware Recommendation Planning under Aggregated Preference Feedback. CoRR Gur Keinan, Omer Ben-Porat
2025	J	`jnl`	Collaborating with GenAI: Incentives and Replacements. CoRR Boaz Taitler, Omer Ben-Porat
2025	J	`jnl`	Data Sharing with a Generative AI Competitor. CoRR Boaz Taitler, Omer Madmon, Moshe Tennenholtz, Omer Ben-Porat
2025	J	`jnl`	Effective Game-Theoretic Motion Planning via Nested Search. CoRR Avishav Engle, Andrey Zhitnikov, Oren Salzman, Omer Ben-Porat, Kiril Solovey
2025	J	`jnl`	Efficient Individually Rational Recommender System under Stochastic Order. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2025	J	`jnl`	Envious Explore and Exploit. CoRR Omer Ben-Porat, Yotam Gafni, Or Markovetzki
2025	J	`jnl`	Modeling Churn in Recommender Systems with Aggregated Preferences. CoRR Gur Keinan, Omer Ben-Porat
2025	B	`conf`	Near-Linear MIR Algorithms for Stochastically-Ordered Priors. SAGT Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2025	A*	`conf`	Selective Response Strategies for GenAI. ICML Boaz Taitler, Omer Ben-Porat
2025	J	`jnl`	Selective Response Strategies for GenAI. CoRR Boaz Taitler, Omer Ben-Porat
2025	J	`jnl`	Strategic Content Creation in the Age of GenAI: To Share or Not to Share? CoRR Gur Keinan, Omer Ben-Porat
2025	J	`jnl`	SySLLM: Generating Synthesized Policy Summaries for Reinforcement Learning Agents Using Large Language Models. CoRR Sahar Admoni, Omer Ben-Porat, Ofra Amir
2024	J	`jnl`	Aegis: A Decentralized Expansion Blockchain. CoRR Yogev Bar-On, Roi Bar Zur, Omer Ben-Porat, Nimrod Cohen, Ittay Eyal, Matan Sitbon
2024	J	`jnl`	Braess's Paradox of Generative AI. CoRR Boaz Taitler, Omer Ben-Porat
2024	A*	`conf`	Personalized Reinforcement Learning with a Budget of Policies. AAAI Dmitry Ivanov, Omer Ben-Porat
2024	J	`jnl`	Personalized Reinforcement Learning with a Budget of Policies. CoRR Dmitry Ivanov, Omer Ben-Porat
2024	A*	`conf`	Principal-Agent Reward Shaping in MDPs. AAAI Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2024	J	`jnl`	Principal-Agent Reward Shaping in MDPs. CoRR Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2023	A*	`conf`	Frustratingly Easy Truth Discovery. AAAI Reshef Meir, Ofra Amir, Omer Ben-Porat, Tsviel Ben Shabat, Gal Cohensius, Lirong Xia
2023	A*	`conf`	Learning with Exposure Constraints in Recommendation Systems. WWW Omer Ben-Porat, Rotem Torkan
2023	J	`jnl`	Learning with Exposure Constraints in Recommendation Systems. CoRR Omer Ben-Porat, Rotem Torkan
2022	A*	`conf`	Modeling Attrition in Recommender Systems with Departing Bandits. AAAI Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022	J	`jnl`	Modeling Attrition in Recommender Systems with Departing Bandits. CoRR Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2021	—	`conf`	Corporate Social Responsibility via Multi-Armed Bandits. FAccT Tom Ron, Omer Ben-Porat, Uri Shalit
2021	A*	`conf`	Protecting the Protected Group: Circumventing Harmful Fairness. AAAI Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
2020	A*	`conf`	Content Provider Dynamics and Coordination in Recommendation Ecosystems. NeurIPS Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
2020	A*	`conf`	Fiduciary Bandits. ICML Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2020	J	`jnl`	Learning under Invariable Bayesian Safety. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2020	A*	`conf`	Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. ICML Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier
2020	J	`jnl`	Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. CoRR Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier
2020	A*	`conf`	Predicting Strategic Behavior from Free Text (Extended Abstract). IJCAI Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz
2020	J	`jnl`	Predicting Strategic Behavior from Free Text. CoRR Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz
2020	J	`jnl`	Predicting Strategic Behavior from Free Text. J. Artif. Intell. Res. Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz
2020	—	`conf`	Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. WWW (Companion Volume) Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov
2019	A*	`conf`	Convergence of Learning Dynamics in Information Retrieval Games. AAAI Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
2019	J	`jnl`	Fiduciary Bandits. CoRR Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
2019	A*	`conf`	From Recommendation Systems to Facility Location Games. AAAI Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
2019	J	`jnl`	Multiunit Facility Location Games. Math. Oper. Res. Omer Ben-Porat, Moshe Tennenholtz
2019	J	`jnl`	Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses. CoRR Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov
2019	J	`jnl`	Protecting the Protected Group: Circumventing Harmful Fairness. CoRR Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
2019	A*	`conf`	Regression Equilibrium. EC Omer Ben-Porat, Moshe Tennenholtz
2019	J	`jnl`	Regression Equilibrium. CoRR Omer Ben-Porat, Moshe Tennenholtz
2019	J	`jnl`	Truth Discovery via Proxy Voting. CoRR Reshef Meir, Ofra Amir, Gal Cohensius, Omer Ben-Porat, Lirong Xia
2018	J	`jnl`	A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. CoRR Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
2018	A*	`conf`	A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. NeurIPS Omer Ben-Porat, Moshe Tennenholtz
2018	J	`jnl`	A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. CoRR Omer Ben-Porat, Moshe Tennenholtz
2018	J	`jnl`	Competing Prediction Algorithms. CoRR Omer Ben-Porat, Moshe Tennenholtz
2018	J	`jnl`	Efficient Crowdsourcing via Proxy Voting. CoRR Gal Cohensius, Omer Ben-Porat, Reshef Meir, Ofra Amir
2018	J	`jnl`	From Recommendation Systems to Facility Location Games. CoRR Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
2017	—	`conf`	Best Response Regression. NIPS Omer Ben-Porat, Moshe Tennenholtz
2017	—	`conf`	Shapley Facility Location Games. WINE Omer Ben-Porat, Moshe Tennenholtz
2017	J	`jnl`	Shapley Facility Location Games. CoRR Omer Ben-Porat, Moshe Tennenholtz
2016	—	`conf`	Multi-unit Facility Location Games. WINE Omer Ben-Porat, Moshe Tennenholtz
2016	J	`jnl`	The (l, k) Facility Location Duel. CoRR Omer Ben-Porat, Moshe Tennenholtz

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.