An Adversarial Risk Analysis Framework for Batch Acceptance Problems
Published Online:7 Jan 2021https://doi.org/10.1287/deca.2020.0420
References
- (2015) Adversarial Risk Analysis (CRC Press, Boca Raton, FL).Crossref, Google Scholar
- (2009) A large-scale linear programming model for finding optimal container inspection strategies. Naval Res. Logist. 56(5):404–420.Crossref, Google Scholar
- (1998) Monte Carlo and quasi-Monte Carlo methods. Acta Numerica 7:1–49.Crossref, Google Scholar
- (1983) Assessment of a beta prior distribution: PM elicitation. J. Roy. Statist. Soc. Ser. D Statistician 32(1–2):174–180.Google Scholar
- (2001) A Course in Probability Theory (Academic Press, San Diego).Google Scholar
- (1991) Experts in Uncertainty: Opinion and Subjective Probability in Science (Oxford University Press, New York).Crossref, Google Scholar
- (2007) Online supervised spam filter evaluation. ACM Trans. Inform. Systems 25(3):Article 11-es.Crossref, Google Scholar
- (2009) On selecting a prior for the precision parameter of Dirichlet process mixture models. J. Statist. Planning Inference 139(9):3384–3390.Crossref, Google Scholar
- (2013) An integrated model for screening cargo containers. Eur. J. Oper. Res. 230(1):181–189.Crossref, Google Scholar
- (2012) Detecting spam zombies by monitoring outgoing messages. IEEE Trans. Dependable Secure Comput. 9(2):198–210.Crossref, Google Scholar
- (1973) A Bayesian analysis of some nonparametric problems. Ann. Statist. 1(2):209–230.Crossref, Google Scholar
- (2000) Kendall’s Library of Statistics 9: Statistical Decision Theory (Wiley, New York).Google Scholar
- (2012) Detecting nuclear materials smuggling: Performance evaluation of container inspection policies. Risk Anal. 32(3):531–554.Crossref, Google Scholar
- (2019) Adversarial hypothesis testing in presence of adversaries. Amer. Statistician, ePub ahead of print July 10, https://doi.org/10.1080/00031305.2019.1630001.Google Scholar
- (2011) Deterring the smuggling of nuclear weapons in container freight through detection and retaliation. Decision Anal. 8(2):88–102.Link, Google Scholar
- (2004) Game Theory: A Critical Introduction (Routledge, New York).Crossref, Google Scholar
- (2011) Defending against multiple different attackers. Eur. J. Oper. Res. 211(2):370–384.Crossref, Google Scholar
- (2012) Review of systems defense and attack models. Internat. J. Performability Engrg. 8(4):355–366.Crossref, Google Scholar
- (2011) Governments’ and terrorists’ defense and attack in a T-period game. Decision Anal. 8(1):46–70.Link, Google Scholar
- (2015) Detection of review spam: A survey. Expert Systems Appl. 42(7):3634–3642.Crossref, Google Scholar
- (2016) BIRDNEST: Bayesian inference for ratings-fraud detection. Venkatasubramanian SC, Meira W, eds. Proc. 16th SIAM Internat. Conf. Data Mining (Society for Industrial and Applied Mathematics, Philadelphia), 495–503.Google Scholar
- (2018) Manipulating machine learning: Poisoning attacks and countermeasures for regression learning. Parno B, Kruegel C, eds. Proc. 39th IEEE Symp. Security Privacy (Institute of Electrical and Electronics Engineers Computer Society, Los Alamitos, CA), 19–35.Google Scholar
- (2013) Defender (mis) coordination in security games. Rossi F, ed. Proc. 23rd Internat. Joint Conf. Artificial Intelligence (Association for the Advancement of Artificial Intelligence Press, Palo Alto, CA), 220–226.Google Scholar
- (2008) Opinion spam and analysis. Broder A, Chakrabarti S, eds. Proc. 2008 Internat. Conf. Web Search and Data Mining (Association for Computing Machinery, New York), 219–230.Google Scholar
- (2011) Classifier evaluation and attribute selection against active adversaries. Data Mining Knowledge Discovery 22(1–2):291–335.Crossref, Google Scholar
- (2012) Text mining and probabilistic language modeling for online review spam detection. ACM Trans. Management Inform. Systems 2(4):Article 25-es.Google Scholar
- (2011) Learning to identify review spam. Walsh T, ed. Proc. 22nd Internat. Joint Conf. Artificial Intelligence (Association for the Advancement of Artificial Intelligence Press, Palo Alto, CA), 2488–2493.Google Scholar
- (2010) Detecting product review spammers using rating behaviors. Koudas N, Jones G, Wu X, Collins-Thompson K, An A, eds. Proc. 19th ACM Internat. Conf. Inform. Knowledge Management (Association for Computing Machinery, New York), 939–948.Google Scholar
- (1991) On the evidence needed to reach agreed action between adversaries, with application to acceptance sampling. J. Amer. Statist. Assoc. 86(416):933–937.Crossref, Google Scholar
- (2014) Stable web spam detection using features based on lexical items. Comput. Security 46(10):79–93.Crossref, Google Scholar
- (2012) Robust adversarial risk analysis: A level-k approach. Decision Anal. 9(1):41–54.Link, Google Scholar
- (2018) Expert judgment based nuclear threat assessment for vessels arriving in the US. Dias LC, Morton A, Quigley J, eds. Elicitation: The Science and Art of Structuring Judgement (Springer, Cham, Switzerland), 495–509.Crossref, Google Scholar
- (2011) A comparative analysis of PRA and intelligent adversary methods for counterterrorism risk management. Risk Anal. 31(9):1488–1510.Crossref, Google Scholar
- (2006) Uncertain Judgements: Eliciting Experts’ Probabilities (Wiley, Chichester, UK).Crossref, Google Scholar
- (2009) Comment spam injection made easy. Buford JF, ed. Proc. 6th IEEE Consumer Comm. Network Conf. (Institute of Electrical and Electronics Engineers Computer Society, Red Hook, NY), 1–5.Google Scholar
- (2012) Adversarial risk analysis for counterterrorism modeling. Risk Anal. 32(5):894–915.Crossref, Google Scholar
- (2009) Adversarial risk analysis. J. Amer. Statist. Assoc. 104(486):841–854.Crossref, Google Scholar
- (2021) Adversarial risk analysis as a structured expert judgement decomposition tool. French S, Nane T, Hanea A, Bedford T, eds. Expert Judgement in Risk and Decision Analysis (Springer, Cham, Switzerland). Forthcoming.Google Scholar
- (2013) Monte Carlo Statistical Methods (Springer, New York).Google Scholar
- (2015) Profiling online social behaviors for compromised account detection. IEEE Trans. Inform. Forensics Security 11(1):176–187.Crossref, Google Scholar
- (2009) Acceptance Sampling in Quality Control (CRC Press, Boca Raton, FL).Google Scholar
- (2016) Get me to my GATE on time: Efficiently solving general-sum Bayesian threat screening games. Kaminka GA, Fox M, Bouquet P, Hüllermeier E, Dignum V, eds. Proc. 22nd Eur. Conf. Artificial Intelligence (IOS Press, Amsterdam), 1476–1484.Google Scholar
- (2007) Relaxed online SVMs for spam filtering. Clarke CLA, Fuhr N, Kando N, eds. Proc. 30th Annual Internat. ACM SIGIR Conf. Res. Development Inform. Retrieval (Association for Computing Machinery, New York), 415–422.Google Scholar
- (1986) Evaluating influence diagrams. Oper. Res. 34(6):871–882.Link, Google Scholar
- (2014) Level-k reasoning in a generalized beauty contest. Games Econom. Behav. 86(7):308–329.Crossref, Google Scholar
- (1985) Optimal control of admission to a queueing system. IEEE Trans. Automatic Control 30(8):705–713.Crossref, Google Scholar
- (1995) Acceptance sampling in a producer-supplier conflicting environment: Risk neutral case. Appl. Stochastic Models Bus. Indust. 11(1):3–12.Crossref, Google Scholar
- (2014) Sequential Analysis: Hypothesis Testing and Changepoint Detection (CRC Press, Boca Raton, FL).Crossref, Google Scholar
- (2019) Detection games under fully active adversaries. Entropy 21(1):Article 23-es.Crossref, Google Scholar
- (2012) Review spam detection via temporal pattern discovery. Agarwal D, Pei J, eds. Proc. 18th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 823–831.Google Scholar
- (2006) A system-fault-risk framework for cyber attack classification. Inform. Knowledge Systems Management 5(2):135–151.Google Scholar
- (2004) Strategic Learning and Its Limits (Oxford University Press, Oxford, NY).Crossref, Google Scholar
- (2018) Adversarial classification on social networks. Dastani M, Sukthankar G, eds. Proc. 17th Internat. Conf. Autonomous Agents Multiagent Systems (International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC), 211–219.Google Scholar
- (2014) Binary PSO with mutation operator for feature selection using decision tree applied to spam detection. Knowledge-Based Systems 64(7):22–31.Crossref, Google Scholar
- (2010) Modeling secrecy and deception in a multiple-period attacker-defender signaling game. Eur. J. Oper. Res. 203(2):409–418.Crossref, Google Scholar

