Backdoor attacks against deep reinforcement learning based traffic signal control systems
Tóm tắt
Từ khóa
Tài liệu tham khảo
Lasley P (2021) 2021 urban mobility report
Chen C, Wei H, Xu N, Zheng G, Yang M, Xiong Y, Xu K, Li Z (2020) Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control. Proceedings of the AAAI Conference on Artificial Intelligence 34(04):3414–3421
Liang X, Du X, Wang G, Han Z (2019) A deep reinforcement learning network for traffic light cycle control. IEEE Trans Veh Technol 68(2):1243–1253
Lee J, Chung J, Sohn K (2019) Reinforcement learning for joint control of traffic signals in a transportation network. IEEE Trans Veh Technol 69(2):1375–1387
Wang Z, Zhu H, He M, Zhou Y, Luo X, Zhang N (2021) Gan and multi-agent drl based decentralized traffic light signal control. IEEE Trans Veh Technol 71(2):1333–1348
Mnih V, Kavukcuoglu K, Silver D, Rusu AA, Veness J, Bellemare MG, Graves A, Riedmiller M, Fidjeland AK, Ostrovski G et al (2015) Human-level control through deep reinforcement learning. Nature 518(7540):529–533
Ibarz J, Tan J, Finn C, Kalakrishnan M, Pastor P, Levine S (2021) How to train your robot with deep reinforcement learning: lessons we have learned. The International Journal of Robotics Research 40(4–5):698–721
Sallab AE, Abdou M, Perot E, Yogamani S (2017) Deep reinforcement learning framework for autonomous driving. Electronic Imaging 2017(19):70–76
Feng Y, Huang S, Chen QA, Liu HX, Mao ZM (2018) Vulnerability of traffic control system under cyberattacks with falsified data. Transp Res Rec 2672(1):1–11
Chen QA, Yin Y, Feng Y, Mao ZM, Liu HX (2018) Exposing congestion attack on emerging connected vehicle based traffic signal control. In: NDSS
Qu A, Tang Y, Ma W (2021) Attacking deep reinforcement learning-based traffic signal control systems with colluding vehicles. arXiv preprint arXiv:2111.02845
Haydari A, Zhang M, Chuah C-N (2021) Adversarial attacks and defense in deep reinforcement learning (drl)-based traffic signal controllers. IEEE Open Journal of Intelligent Transportation Systems 2:402–416
Wu C, Kreidieh AR, Parvate K, Vinitsky E, Bayen AM (2021) Flow: A modular learning framework for mixed autonomy traffic. IEEE Trans Robot
Mnih V, Kavukcuoglu K, Silver D, Graves A, Antonoglou I, Wierstra D, Riedmiller M (2013) Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602
Van Hasselt H, Guez A, Silver D (2016) Deep reinforcement learning with double q-learning. In: Proceedings of the AAAI conference on artificial intelligence 30(1)
Lillicrap TP, Hunt JJ, Pritzel A, Heess N, Erez T, Tassa Y, Silver D, Wierstra D (2015) Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971
Schulman J, Wolski F, Dhariwal P, Radford A, Klimov O (2017) Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347
Kiourti P, Wardega K, Jha S, Li W (2020) Trojdrl: evaluation of backdoor attacks on deep reinforcement learning. In: 2020 57th ACM/IEEE Design Automation Conference (DAC). IEEE, pp 1–6
Wang Y, Sarkar E, Li W, Maniatakos M, Jabari SE (2021) Stop-and-go: Exploring backdoor attacks on deep reinforcement learning-based traffic congestion control systems. IEEE Trans Inf Forensics Secur 16:4772–4787
Wang L, Javed Z, Wu X, Guo W, Xing X, Song D (2021) Backdoorl: Backdoor attack against competitive reinforcement learning. arXiv preprint arXiv:2105.00579
Krajzewicz D, Erdmann J, Behrisch M, Bieker L (2012) Recent development and applications of sumo-simulation of urban mobility. International Journal on Advances in Systems and Measurements 5(3 & 4)
Liang E, Liaw R, Nishihara R, Moritz P, Fox R, Goldberg K, Gonzalez J, Jordan M, Stoica I (2018) Rllib: Abstractions for distributed reinforcement learning, in International Conference on Machine Learning. PMLR, pp 3053–3062
Wei H, Zheng G, Yao H, Li Z (2018) Intellilight: A reinforcement learning approach for intelligent traffic light control. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp 2496–2505
Shabestary SMA, Abdulhai B (2022) Adaptive traffic signal control with deep reinforcement learning and high dimensional sensory inputs: Case study and comprehensive sensitivity analyses. IEEE Trans Intell Transp Syst