Learning adversary behavior in security games: A PAC model perspective

Learning adversary behavior in security games: A PAC model perspective

Recent applications of Stackelberg Security Games (SSG), from wildlife crime to urban crime, have employed machine learning tools to learn and predict adversary behavior using available data about defender-adversary interactions. Given these recent developments, this paper commits to an approach of...

Saved in:

書目詳細資料
Main Authors:	SINHA, Arunesh, KAR, Debarun, TAMBE, Milind
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2016
主題:	Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/4661 https://ink.library.smu.edu.sg/context/sis_research/article/5664/viewcontent/AAMAS2016PAC_1_.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

相似書籍

Three strategies to success: Learning adversary models in security games
由: HAGHTALAB, Nika, et al.
出版: (2016)

Towards a science of security games
由: NGUYEN, Thanh Hong, et al.
出版: (2016)

Using abstractions to solve opportunistic crime security games at scale
由: ZHANG, Chao, et al.
出版: (2016)

Get me to my GATE on time: Efficiently solving general-sum bayesian threat screening games
由: SCHLENKER, Aaron, et al.
出版: (2016)

Partial adversarial behavior deception in security games
由: NGUYEN, Thanh H., et al.
出版: (2021)

Don’t bury your head in warnings: A game-theoretic approach for intelligent allocation of cyber-security alerts
由: SCHLENKER, Aaron, et al.
出版: (2017)

Keeping pace with criminals: Designing patrol allocation against adaptive opportunistic criminals
由: ZHANG, Chao, et al.
出版: (2015)

Countering attacker data manipulation in security games
由: BUTLER, Andrew R., et al.
出版: (2021)

From physical security to cybersecurity
由: SINHA, Arunesh, et al.
出版: (2015)

Data exfiltration detection and prevention: Virtually distributed POMDPs for practically safer networks
由: MC CARTHY, Sara Marie, et al.
出版: (2016)

A learning and masking approach to secure learning
由: NGUYEN, Linh, et al.
出版: (2018)

Stackelberg security games: Looking beyond a decade of success
由: SINHA, Arunesh, et al.
出版: (2018)

Detect rumors on Twitter by promoting information campaigns with generative adversarial learning
由: MA, Jing, et al.
出版: (2019)

Personalized microblog sentiment classification via adversarial cross-lingual learning
由: WANG, Weichao, et al.
出版: (2018)

Generative modelling of stochastic actions with arbitrary constraints in reinforcement learning
由: CHEN, Changyu, et al.
出版: (2023)

Self-organizing neural networks for behavior modeling in games
由: FENG, Shu, et al.
出版: (2010)

Scaling-up stackelberg security games applications using approximations
由: SINHA, Arunesh, et al.
出版: (2018)

Regret minimizing audits: A learning-theoretic basis for privacy protection
由: BLOCKI, Jeremiah, et al.
出版: (2011)

Curiosity-driven and victim-aware adversarial policies
由: GONG, Chen, et al.
出版: (2022)

One size does not fit all: A game-theoretic approach for dynamically and effectively screening for threats
由: BROWN, Matthew, et al.
出版: (2016)

CAPTURE: A new predictive anti-poaching tool for wildlife protection
由: NGUYEN, Thanh H., et al.
出版: (2016)

The price of usability: Designing operationalizable strategies for security games
由: McCARTHY, Sara Marie, et al.
出版: (2018)

Handling long and richly constrained tasks through constrained hierarchical reinforcement learning
由: LU, Yuxiao, et al.
出版: (2024)

When players affect target values: Modeling and solving dynamic partially observable security games
由: WANG, Xinrun, et al.
出版: (2019)

Adversarial learning on heterogeneous information networks
由: HU, Binbin, et al.
出版: (2019)

Protecting the NECTAR of the Ganga River through game-theoretic factory inspections
由: FORD, Benjamin, et al.
出版: (2016)

Neighbor-anchoring adversarial graph neural networks (extended abstract)
由: LIU, Zemin, et al.
出版: (2022)

Adversarial contract design for private data commercialization
由: NAGHIZADEH, Parinaz, et al.
出版: (2019)

‘The six pac-men' : exploring the strength of advice provision and the impact of an adversarial advisor in reinforcement learning
由: Arun, Rakshitha
出版: (2021)

Two can play that game: An adversarial evaluation of a cyber-alert inspection system
由: SHAH, Ankit, et al.
出版: (2020)

Information technology and organizational learning: Managing behavioral change in the digital age by Arthur M. Langer
由: HOE, Siu Loon
出版: (2021)

WikiNetViz: Visualizing friends and adversaries in implicit social networks
由: LE, Minh-Tam, et al.
出版: (2008)

Deception in finitely repeated security games
由: NGUYEN, Thanh H., et al.
出版: (2019)

Learning index policies for restless bandits with application to maternal healthcare
由: BISWAS, Arpita, et al.
出版: (2021)

Prescriptive analytics: A game changer for business
由: RAVINDRAN, S., et al.
出版: (2017)

Adversarial specification mining
由: KANG, Hong Jin, et al.
出版: (2021)

Choices are not independent: Stackelberg security games with nested quantal response models
由: MAI, Tien, et al.
出版: (2022)

Dota2 game predicting system using data mining
由: Imperial, Mar Kenneth Louise S.
出版: (2014)

Information modeling and method engineering: A psychological perspective
由: SIAU, Keng
出版: (1999)

Secure Human Communications Based on Biometrics Signals
由: WU, Yongdong, et al.
出版: (2005)