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Publications & Outputs

  1. A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

    Huang, X., Kroening, D., Ruan, W., Sharp, J., Sun, Y., Thamo, E., Wu, M. & Yi, X., 1/08/2020, In: Computer Science Review. 37, 35 p., 100270.

    Research output: Contribution to journalJournal articlepeer-review

  2. Auto-balanced filter pruning for efficient convolutional neural networks

    Ding, X., Ding, G., Han, J. & Tang, S., 27/04/2018, THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.. AAAI, p. 6797-6804 8 p. (THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Quality of information in wireless sensor networks: A survey

    Sachidananda, V., Khelil, A. & Suri, N., 2010.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review