Secure Vickrey Auctions for Online Advertising

Archit Bhatnagar, University of Michigan; Yunming Xiao, The Chinese University of Hong Kong, Shenzhen; Ang Chen and Amrita Roy Chowdhury, University of Michigan

Online advertising is an essential part of the web ecosystem. When a user’s browser lands on a webpage, advertisers bid for the ad space. An auction algorithm (e.g., Vickrey/second-price auction) is executed to determine the winner and the price; ideally, only this information is revealed, and everything else (i.e., the losing bids and the bidder identities) is kept private. However, achieving these privacy goals under a malicious security model, while operating under stringent performance requirements for online advertising, is challenging.

Obsidian enables secure Vickrey auctions for online advertising with three ideas: a new Multiparty Computation (MPC)-friendly encoding scheme that decouples bid values from bidders’ identities; a novel use of function secret sharing to shift the cost of encoding validation to an offline phase; and a lightweight ring signature scheme to anonymously verify bidders. Obsidian outperforms generic MPC and homomorphic encryption approaches by orders of magnitude. Moreover, it also surpasses the state-of-the-art system, Addax, which is tailored to ad auctions under a weaker (covert) threat model and leaks more information.

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BibTeX
@inproceedings {316580,
author = {Archit Bhatnagar and Yunming Xiao and Ang Chen and Amrita Roy Chowdhury},
title = {Secure Vickrey Auctions for Online Advertising},
booktitle = {23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI 26)},
year = {2026},
isbn = {978-1-939133-54-0},
address = {Renton, WA},
pages = {2227--2246},
url = {https://www.usenix.org/conference/nsdi26/presentation/bhatnagar},
publisher = {USENIX Association},
month = may
}

Presentation Video