[May 31st, 2022] Our paper "P³: Privacy-Preserving Prediction of Real-time Energy Demands in EV Charging Networks" (Beibei Li, Yuqing Guo, Qingyun Du, Ziqing Zhu, Xiaohui Li, Rongxing Lu) was accepted by IEEE Transactions on Industrial Informatics.

[May 20th, 2022] We are organizing a Special Issue "Security and Privacy for Machine Learning Applications" on the Sensors journal. Welcome to submit your excellent works.

[May 20th, 2022] Big congrats to Mr. Yukun Jiang for accepting the offer of admission to a PhD Program (Fall 2022 Intake) at CISPA Helmholtz Center for Information Security, Germany.

[Apr. 22nd, 2022] Our paper "AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks" (Ao Liu, Beibei Li*, Tao Li, Pan Zhou, Rui Wang) was accepted by IEEE Transactions on Neural Networks and Learning Systems.

[Apr. 2nd, 2022] Our paper "On Feasibility and Limitations of False Data Injection Attacks Localization in Smart Grids with D-FACTS Devices" (Qingyun Du, Beibei Li, Yuqing Guo, Ziqing Zhu) was accepted by 41st Chinese Control Conference 2022.

[Feb. 19th, 2022] Big congrats to Mr. Shang Ma for accepting the offer of admission to a PhD Program (Fall 2022 Intake) at University of Notre Dame, USA.

[Feb. 10th, 2022] Our paper "Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications" (Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang) was accepted by IEEE INFOCOM 2022 WORKSHOP.

[Feb. 10th, 2022] Our paper "Federated Anomaly Detection on System logs for the Internet of Things: A Customizable and Communication-Efficient Approach" (Beibei Li, Shang Ma, Ruilong Deng, Kim-Kwang Raymond Choo, Jin Yang) was accepted by IEEE Transactions on Network and Service Management.

[Nov. 9th, 2021] Our paper "A Novel Generation Method for Diverse Privacy Image Based on Machine Learning" (Weina Niu, Yuheng Luo, Kangyi Ding, Xiaosong Zhang, Yanping Wang, Beibei Li) was accepted by The Computer Journal.

[Jan. 15th, 2022] Our paper "DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems" (Beibei Li, Yuhao Wu, Jiarui Song, Rongxing Lu, Tao Li, Liang Zhao) has been designated by ESI as "Highly Cited Paper".

[Jan. 14th, 2022] Dr. Beibei Li agreed to serve as a Security Track Chair for The 19th Annual International Conference on Privacy, Security & Trust (PST2022) Welcome to submit your excellent works at https://pstnet.ca/".

[Oct. 15th, 2021] Our paper "FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks" (Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang) was accepted by IEEE GLOBECOM 2021.

[Oct. 1st, 2021] Our paper "Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices" (Beibei Li, Qingyun Du, Jiarui Song, Aohan Li, Xiaoxia Ma) was accepted by ICSOC 2021.

[Sep. 9th, 2021] Our paper "FLPhish: Reputation-Based Phishing Byzantine Defense in Ensemble Federated Learning" (Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang) won the Best Paper Award of IEEE ISCC 2021.

[Apr. 24th, 2021] Our paper "Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog" (Qinglei Kong, Feng Yin, Rongxing Lu, Beibei Li, Xiaohong Wang, Shuguang Cui, Ping Zhang) was accepted by IEEE Transactions on Industrial Informatics.

[Jan. 25th, 2021] Our paper "On Secure and Efficient Data Sharing for Smart Grids: An Anti-Collusion Scheme" (Xiaoxia Ma, Beibei Li, Qinglei Kong, Yuankai Ouyang, Rongxing Lu) was accepted by IEEE International Conference on Communications 2021 (IEEE ICC 2021).

[Jan. 25th, 2021] Our paper "FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks" (Yuankai Ouyang, Beibei Li, Qinglei Kong, Han Song, Tao Li) was accepted by IEEE International Conference on Communications 2021 (IEEE ICC 2021).

[Jan. 25th, 2021] Our paper "Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning" (Qinglei Kong, Feng Yin, Yue Xiao, Beibei Li, Xuejia Yang, Shuguang Cui) was accepted by IEEE International Conference on Communications 2021 (IEEE ICC 2021).

[Nov. 29th, 2020] Our paper "An Immune-Based Risk Assessment Method for Digital Virtual Assets" (Junjiang He, Tao Li, Beibei Li, Xiaolong Lan, Zhiyong Li, Yunpeng Wang) was accepted by Computers & Security.

[Sep. 10th, 2020] Our paper "ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy" (Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li) was accepted by 2020 IEEE 45th Conference on Local Computer Networks (IEEE LCN 2020).

[Aug. 28th, 2020] Our paper "DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems" (Beibei Li, Yuhao Wu, Jiarui Song, Rongxing Lu, Tao Li, Liang Zhao) was accepted by IEEE Transactions on Industrial Informatics.

[Jun. 10th, 2020] Our paper "A Novel Privacy Preserving Data Aggregation Scheme with Data Integrity and Fault Tolerance for Smart Grid Communications" (Haiyong Bao, Beibei Li) was accepted by Frontiers of Computer Science.

[Apr. 20th, 2020] Our paper "Adaptive Consensus for Heterogeneous Multi-agent Systems under Sensor and Actuator Attacks" (Min Meng, Gaoxi Xiao, Beibei Li) was accepted by IFAC Automatica.