Past Acitivities

Completed Activities in 22-23:

• Conference organization

  • C. Huang as Technical co-chair for IEEE ICDIS 2022

  • *C. Huang as Publicity co-chair for IEEE SSCI 2022

• Special sessions, workshops/symposiums, and competitions

  • *S. See and C. Huang, WCCI 2022 Industry Day Panel on ML application for Security and Privacy

• Tutorials, keynote and plenary talks, and webinars

  • Huiyu Zhou, invited to talk on CMI'22, FAIML'22, ECNLPIR'22, ICBIBE'22, AICS'22, ICIVIS'22, ICHVR'22, CSAE'22, ICIS'22, MLIS'22, and CFAIS'22.

  • Dipankar Dasgupta, available talks

    • Topic 1: Computational Intelligence in Cybersecurity (abstract)

    • Topic 2: Adversarial Machine Learning and Defense Strategies (abstract)

    • Topic 3: Adaptive Multi-Factor Authentication & Cyber Identity (abstract)

    • Topic 4: Advances in Immunological Computation (abstract)

    • Topic 5: AI vs AI: Viewpoints (abstract)

• Journal special issues

  • Zhou Tao, Chen Li, Lin Gu, Changming Sun, and Huiyu Zhou, Frontiers in Radiology, Research Topic "Computer-aided diagnosis based on medical image: trends and future research"

  • * W.Luo, Y. Jin and C. Huang, IEEE Transaction on AI Special Issue on Security & Privacy in ML

  • C. Huang, Y, Ong, and C. Fralick, Springer Complex and Intelligent Systems Special Issue on Secure Learning

• Other events aiming to promote the research, application and education relevant to Neural Networks

Completed Activities in 21-22:

• Conference organization

  • Dipankar Dasgupta, Computational Intelligence in Cyber Security (CICS) at IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, December 4-7, 2022.

• Special sessions, workshops/symposiums, and competitions

• Tutorials, keynote and plenary talks, and webinars

  • Huiyu Zhou, invited to talk on ICAIBD'22, ICIPMC'22, ICACDS'22, Huazhong University of Science and Technology, NUAA, Guangxi Minzu University, and Dalian University of Technology.

  • Dipankar Dasgupta, tutorial on “Machine Learning Applications, Adversarial Attacks and Mitigation Strategies” on December 5th  at IEEE Symposium Series on Computational Intelligence (SSCI), December 4-7, 2022.

• Journal special issues

• Other events aiming to promote the research, application and education relevant to Neural Networks

  • Singh, Amit Kumar, Huiyu Zhou, and Stefano Berretti. "Guest Editorial: Medical Data Security Solution for Healthcare Industries." IEEE Transactions on Industrial Informatics 18, no. 8 (2022): 5558-5560.

  • Dasgupta, Dipankar, and Kishor Datta Gupta. "Dual-filtering (DF) schemes for learning systems to prevent adversarial attacks." Complex & Intelligent Systems (2022): 1-22.

  • Dipankar Dasgupta and Sen, Sajib. An Empirical Study of Algorithmic Bias. A book Chapter in the Handbook on Computer Learning and Intelligence (Vol. II), pages 895-922, World Scientific Publisher, (2022).

  • Arunava Roy and Dipankar Dasgupta. A Robust Framework for Adaptive Selection of Filter Ensembles to Detect Adversarial Inputs. In Proceedings of  5th International Workshop on Dependable and Secure Machine Learning (DSML). Co-located with the 52nd IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2022),

  • Dasgupta, Dipankar, Zahid Akhtar, and Sajib Sen. "Machine learning in cybersecurity: a comprehensive survey." The Journal of Defense Modeling and Simulation 19, no. 1 (2022): 57-106.

  • Das, Lokesh Chandra, Dipankar Dasgupta, and Myounggyu Won. "LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging." arXiv preprint arXiv:2205.10491(2022). (submitted to NeurIPS 2022)

  • Kishor Datta Gupta, Dipankar Dasgupta. Adversarial Attacks and Defenses for Deployed AI model. IT Professional Magazine (in press).

Completed Activities in 2020:

• The workshop of Secure Learning in IJCNN was held Tuesday, July 21st 2pm to 6pm (UK time).

• Propose and Organise the IJCNN Workshop on Secure Learning.