Publications

Marcin Waniek

2024

• Michał Godziszewski , Marcin Waniek , Yulin Zhu, Kai Zhou, Talal Rahwan, Tomasz Michalak , Adversarial analysis of similarity-based sign prediction, Artificial Intelligence, 335 2024, p. 104173: 1-29. See in PBN
• Yuni Lai, Marcin Waniek , Liying Li, Jingwen Wu, Yulin Zhu, Tomasz Michalak , Talal Rahwan, Kai Zhou, Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection, IEEE Transactions on Information Forensics and Security, 19 2024, p. 9315-9329. See in PBN
• Andrzej Nagórko , Marcin Waniek , Małgorzata Róg, Michał Godziszewski, Barbara Rosiak, Tomasz Paweł Michalak, General Markov Model for Solving Patrolling Games, 40th Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, 15 July 2024 - 19 July 2024. See in PBN

2023

• Marcin Waniek , Jan Woźnica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz Michalak , Talal Rahwan, Hiding From Centrality Measures: A Stackelberg Game Perspective, IEEE Transactions on Knowledge and Data Engineering, 35 (10) 2023, p. 10058-10071. See in PBN
• Marcin Waniek , Navya Suri, Abdullah Zameek, Bedoor AlShebli, Talal Rahwan, Human intuition as a defense against attribute inference, Scientific Reports, 2023. See in PBN

2022

• Bedoor AlShebli, Enshu Cheng, Marcin Waniek , Ramesh Jagannathan, Pablo Hernández-Lagos, Talal Rahwan, Beijing’s central role in global artificial intelligence research, Scientific Reports, 12 (1) 2022. See in PBN
• Marcin Waniek , Cesar Hidalgo, Bridging the polarization gap: Maximizing diffusion among dissimilar communities, Collective Intelligence, 1 (2) 2022, p. 263391372211285. See in PBN
• Marcin Waniek , Petter Holme, Talal Rahwan, Hiding in Temporal Networks, IEEE Transactions on Network Science and Engineering, 2022. See in PBN
• Marcin Waniek , Walid Magdy, Talal Rahwan, Hiding opinions from machine learning, PNAS Nexus, 1 (5) 2022. See in PBN
• Marcin Waniek , Michael Wooldridge, Talal Rahwan, Tomasz Michalak , How Members of Covert Networks Conceal the Identities of Their Leaders, ACM Transactions on Intelligent Systems and Technology, 13 (1) 2022, p. 1-29. See in PBN
• Marcin Waniek , Petter Holme, Manuel Cebrian, Talal Rahwan, Social diffusion sources can escape detection, iScience, 2022. See in PBN
• Marcin Waniek , Petter Holme, Katayoun Farrahi, Rémi Emonet, Manuel Cebrian, Talal Rahwan, Trading contact tracing efficiency for finding patient zero, Scientific Reports, 12 (1) 2022. See in PBN

2021

• Tomasz Michalak , Michał Godziszewski, Talal Rahwan, Marcin Waniek , Kai Zhou, Yulin Zhu, Attacking Similarity-Based Sign Prediction, IEEE International Conference on Data Mining, Auckland, New Zealand, 7 December 2021 - 10 December 2021. See in PBN
• Marcin Waniek , Gururaghav Raman, Bedoor AlShebli, Jimmy Chih-Hsien Peng, Talal Rahwan, Traffic networks are vulnerable to disinformation attacks, Scientific Reports, 11 (1) 2021. See in PBN

2020

• Marcin Waniek , Khaled Elbassioni, Flávio L. Pinheiro, César A. Hidalgo, Aamena Alshamsi, Computational aspects of optimal strategic network diffusion, THEORETICAL COMPUTER SCIENCE, 814 2020, p. 153-168. See in PBN
• Gururaghav Raman, Bedoor AlShebli, Marcin Waniek , Talal Rahwan, Jimmy Chih-Hsien Peng, How weaponizing disinformation can bring down a city’s power grid, PLoS ONE, 15 (8) 2020, p. e0236517. See in PBN
• Tomasz Wąs, Marcin Waniek , Talal Rahwan, Tomasz Michalak , The manipulability of centrality measures -an axiomatic approach, 19th International Conference on Autonomous Agents and Multiagent Systems, Auckland, New Zealand, 8 May 2020 - 12 May 2020. See in PBN