R. Preston McAfee

44 papers A* 14Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Incentives and Outcomes in Bug Bounties. CoRR Serena Wang, Martino Banchio, Krzysztof Kotowicz, Katrina Ligett, R. Preston McAfee, Eduardo A. Vela Nava
2025	A*	`conf`	Relying on the Metrics of Evaluated Agents. WWW Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee
2024	J	`jnl`	Information Elicitation in Agency Games. CoRR Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee
2024	J	`jnl`	Winner-Pays-Bid Auctions Minimize Variance. CoRR R. Preston McAfee, Renato Paes Leme, Balasubramanian Sivan, Sergei Vassilvitskii
2021	J	`jnl`	Characterizing the Usage Intensity of Public Cloud. ACM Trans. Economics and Comput. Aadharsh Kannan, Jacob LaRiviere, R. Preston McAfee
2020	J	`jnl`	Learning When to Stop Searching. Manag. Sci. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2019	A*	`conf`	Simple and Approximately Optimal Pricing for Proportional Complementarities. EC Yang Cai, Nikhil R. Devanur, Kira Goldner, R. Preston McAfee
2019	J	`jnl`	Simple and Approximately Optimal Pricing for Proportional Complementarities. CoRR Yang Cai, Nikhil R. Devanur, Kira Goldner, R. Preston McAfee
2017	J	`jnl`	Farewell Editorial: Looking Back on Our Terms Editing ACM TEAC and into the Future. ACM Trans. Economics and Comput. Vincent Conitzer, R. Preston McAfee
2017	A*	`conf`	Learning in the Repeated Secretary Problem. EC Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	J	`jnl`	Learning in the Repeated Secretary Problem. CoRR Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	—	`conf`	Scale Effects in Web Search. WINE Di He, Aadharsh Kannan, Tie-Yan Liu, R. Preston McAfee, Tao Qin, Justin M. Rao
2017	A*	`conf`	Usage Patterns and the Economics of the Public Cloud. WWW Cinar Kilcioglu, Justin M. Rao, Aadharsh Kannan, R. Preston McAfee
2016	J	`jnl`	Incentivizing advertiser networks to submit multiple bids. Int. J. Game Theory Patrick Hummel, R. Preston McAfee, Sergei Vassilvitskii
2016	J	`jnl`	Introduction. ACM Trans. Economics and Comput. R. Preston McAfee, Éva Tardos
2016	J	`jnl`	Machine Learning in an Auction Environment. J. Mach. Learn. Res. Patrick Hummel, R. Preston McAfee
2016	J	`jnl`	When Does Improved Targeting Increase Revenue? ACM Trans. Economics and Comput. Patrick Hummel, R. Preston McAfee
2015	J	`jnl`	Display Advertising Auctions with Arbitrage. ACM Trans. Economics and Comput. Ruggiero Cavallo, R. Preston McAfee, Sergei Vassilvitskii
2015	J	`jnl`	Improving the Effectiveness of Time-Based Display Advertising. ACM Trans. Economics and Comput. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2015	J	`jnl`	To Match or Not to Match: Economics of Cookie Matching in Online Advertising. ACM Trans. Economics and Comput. Arpita Ghosh, Mohammad Mahdian, R. Preston McAfee, Sergei Vassilvitskii
2015	A*	`conf`	When Does Improved Targeting Increase Revenue? WWW Patrick Hummel, R. Preston McAfee
2014	A*	`conf`	Machine learning in an auction environment. WWW Patrick Hummel, R. Preston McAfee
2014	J	`jnl`	Position Auctions with Externalities and Brand Effects. CoRR Patrick Hummel, R. Preston McAfee
2014	—	`conf`	Position Auctions with Externalities. WINE Patrick Hummel, R. Preston McAfee
2014	J	`jnl`	The cost of annoying ads. SIGecom Exch. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2013	A*	`conf`	Improving the Effectiveness of Time-Based Display Advertising. IJCAI Daniel Gray Goldstein, R. Preston McAfee, Siddharth Suri
2013	J	`jnl`	Notes from the EC'13 program chairs. SIGecom Exch. R. Preston McAfee, Éva Tardos
2013	A*	`ed.`	Proceedings of the fourteenth ACM Conference on Electronic Commerce, EC 2013, Philadelphia, PA, USA, June 16-20, 2013 EC Michael J. Kearns, R. Preston McAfee, Éva Tardos
2013	J	`jnl`	The ACM transactions on economics and computation: An introduction. ACM Trans. Economics and Comput. Vincent Conitzer, R. Preston McAfee
2013	A*	`conf`	The cost of annoying ads. WWW Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2012	J	`jnl`	Cloud control: voluntary admission control for intranet traffic management. Inf. Syst. E Bus. Manag. John Langford, Lihong Li, R. Preston McAfee, Kishore Papineni
2012	J	`jnl`	Crowdsourcing with Endogenous Entry CoRR Arpita Ghosh, R. Preston McAfee
2012	A*	`conf`	Crowdsourcing with endogenous entry. WWW Arpita Ghosh, R. Preston McAfee
2012	A*	`conf`	To match or not to match: economics of cookie matching in online advertising. EC Mohammad Mahdian, Arpita Ghosh, R. Preston McAfee, Sergei Vassilvitskii
2011	—	`conf`	Efficient Ranking in Sponsored Search. WINE Sébastien Lahaie, R. Preston McAfee
2011	A*	`conf`	Incentivizing high-quality user-generated content. WWW Arpita Ghosh, R. Preston McAfee
2011	J	`jnl`	Solution to exchanges 10.1 puzzle: Baffling Raffling debaffled. SIGecom Exch. R. Preston McAfee
2011	A*	`conf`	The effects of exposure time on memory of display advertisements. EC Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
2011	A*	`conf`	Who moderates the moderators?: crowdsourcing abuse detection in user-generated content. EC Arpita Ghosh, Satyen Kale, R. Preston McAfee
2002	J	`jnl`	Equilibrium Price Dispersion with Consumer Inventories. J. Econ. Theory Pilky Hong, R. Preston McAfee, Ashish Nayyar
1983	J	`jnl`	An OIS Model for Internal Accounting Control Evaluation. ACM Trans. Inf. Syst. Andrew D. Bailey Jr., James H. Gerlach, R. Preston McAfee, Andrew B. Whinston
1982	—	`conf`	An OIS model for internal control evaluation. COCS Andrew D. Bailey Jr., James H. Gerlach, R. Preston McAfee, Andrew B. Whinston
1981	J	`jnl`	Internal Accounting Controls in the Office of the Future. Computer Andrew D. Bailey Jr., James H. Gerlach, R. Preston McAfee, Andrew B. Whinston
1981	—	`conf`	OIS Technology and Accounting: Partners in Conflict. NATO ASI DBM Andrew D. Bailey Jr., James H. Gerlach, R. Preston McAfee, Andrew B. Whinston, David J. H. Watson

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.