Machine Learning Safety

Xiaowei Huang is currently a Reader of Computer Science and Director of the Autonomous Cyber-Physics Systems lab at the University of Liverpool (UoL). His research is concerned with the development of automated verification techniques that ensure the correctness and reliability of intelligent systems. He has published more than 80 papers, primarily in leading conference proceedings and journals in the fields of Artificial Intelligence (e.g. Artificial Intelligence Journal, ACM Transactions on Computational Logics, NeurIPS, AAAI, IJCAI, ECCV), Formal Verification (e.g. CAV, TACAS, and Theoretical Computer Science) and Software Engineering (e.g. IEEE Transactions on Reliability, ICSE and ASE). He has been invited to give talks at several leading conferences, discussing topics related to the safety and security of applying machine learning algorithms to critical applications. He has co-chaired the AAAI and IJCAI workshop series on Artificial Intelligence Safety and been the PI or co-PI ofseveral Dstl (Ministry of Defence, UK), EPSRC and EU H2020 projects. He is the Director of the Autonomous Cyber Physical Systems Lab at Liverpool. Wenjie Ruan is a Senior Lecturer of Data Science at the University of Exeter, UK. His research interests lie in the adversarial robustness of deep neural networks, and in machine learning and its applications in safety-critical systems, including health data analytics and human-centered computing. His series of research works on Device-free Human Localization and Activity Recognition for Supporting the Independent Living of the Elderly garnered him a Doctoral Thesis Excellence Award from the University of Adelaide, Best Research Poster Award at the 9th ACM International Workshop on IoT and Cloud Computing, and Best Student Paper Award at the 14th International Conference on Advanced Data Mining and Applications. He was also the recipient of a prestigious DECRA fellowship from the Australian Research Council. Dr. Ruan has published more than 40 papers in international conference proceedings such as AAAI, IJCAI, SIGIR, WWW, ICDM, UbiComp, CIKM, and ASE. Dr. Ruan has served as a senior PC, PC member or invited reviewer for over 10 international conferences, including IJCAI, AAAI, ICML, NeurIPS, CVPR, ICCV, AAMAS, ECML-PKDD, etc. He is the Director of the Exeter Trustworthy AI Lab at the University of Exeter.

“The authors are top researchers in the field. ...  this book leaves a reader longing for more profound insights.” (Subhankar Ray, Computing Reviews, March 29, 2024)

• 1. Introduction.- 2. Safety of Simple Machine Learning Models.- 3. Safety of Deep Learning.- 4. Robustness Verification of Deep Learning.- 5. Enhancement to Robustness and Generalization.- 6. Probabilistic Graph Model.- A. Mathematical Foundations.- B. Competitions.