6 papers
Can Watermarking Techniques Help Prevent LLM Model Stealing?
Elette Boyle, MohammadTaghi Hajiaghayi, Keivan Rezaei +2
Model stealing attacks have recently been introduced, enabling the extraction of precise information from black-box commercial language models. In this work, we propose defense met…
Ad Auctions for LLMs via Retrieval Augmented Generation
MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei +1
In the field of computational advertising, the integration of ads into the outputs of large language models (LLMs) presents an opportunity to support these services without comprom…
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin +1
We study social learning dynamics motivated by reviews on online platforms. The agents collectively follow a simple multi-armed bandit protocol, but each agent acts myopically, wit…
Replication-proof Bandit Mechanism Design with Bayesian Agents
Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi
We study the problem of designing replication-proof bandit mechanisms when agents strategically register or replicate their own arms to maximize their payoff. Specifically, we cons…
Gains-from-Trade in Bilateral Trade with a Broker
Ilya Hajiaghayi, MohammadTaghi Hajiaghayi, Gary Peng +1
We study bilateral trade with a broker, where a buyer and seller interact exclusively through the broker. The broker strategically maximizes her payoff through arbitrage by trading…
Fairness and Efficiency in Online Class Matching
MohammadTaghi Hajiaghayi, Shayan Chashm Jahan, Mohammad Sharifi +2
The online bipartite matching problem, extensively studied in the literature, deals with the allocation of online arriving vertices (items) to a predetermined set of offline vertic…