Summary of Inception: Efficiently Computable Misinformation Attacks on Markov Games, by Jeremy Mcmahan et al.
Inception: Efficiently Computable Misinformation Attacks on Markov Games
by Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
First submitted to arxiv on: 24 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Cryptography and Security (cs.CR); Computer Science and Game Theory (cs.GT)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the impact of information asymmetry and misinformation on Markov games, specifically focusing on an attacker player who can manipulate the victim player’s behavior by spreading false information about its reward function. The authors develop polynomial-time algorithms to compute the attacker’s optimal policy using linear programming and backward induction, as well as an efficient “planting an idea in someone’s mind” attack algorithm. By exploiting the assumption of rationality, the methods efficiently compute attacks and expose a security vulnerability arising from standard game assumptions under misinformation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how people can be tricked into making bad decisions when others spread false information about what they want. Imagine someone trying to influence your choices by telling you that you’ll get more rewards if you do something. The researchers study this problem and come up with ways for the person spreading misinformation to make their plan work. They show that even people who are usually good at making smart decisions can be fooled if they don’t have all the information. |
