[Nov. 30th, 2022] Big congrats to Mr. Peiran Wang for winning the second prize of Sichuan University's 2022 Outstanding Undergraduate Thesis Award.

[Oct. 21st, 2022] Big congrats to Mr. Ao Liu and Miss Yuqing Guo for winning the 2021-2022 National Scholarship for Graduate Students of School of Cyber Science and Engineering, Sichuan University.

[Jul. 24th, 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 "Hot Cited Paper".

[Jul. 16th, 2022] Our paper "On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices" (Beibei Li, Gaoxi Xiao, Rongxing Lu, Ruilong Deng, Haiyong Bao) has been designated by ESI as "Highly Cited Paper".

[Jul. 7th, 2022] Our paper "FEEL: Federated End-to-End Learning with Non-IID Data for Vehicular Ad Hoc Networks" (Beibei Li, Yukun Jiang, Qingqi Pei, Tao Li, Liang Liu, Rongxing Lu) was accepted by IEEE Transactions on Intelligent Transportation Systems.

[Jun. 28th, 2022] Big congrats to Mr. Peiran Wang for accepting the offer of admission to a Master Program (Fall 2022 Intake) at Tsinghua University, P.R. China.

[Jun. 12th, 2022] Our paper "User Behavior Simulation in ICS Cyber Ranges" (Chuhan Liu, Wei Yan, Fengkai Xu, Wenlong Yang, Beibei Li) was accepted by the 19th Annual International Conference on Privacy, Security & Trust 2022.

[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 at https://www.mdpi.com/journal/sensors/special_issues/Security_Privacy_ML.

[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 is serving 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.