Supervisors:
Alexander Wong, Mohammad Javad Shafiee
I am doing an M.Sc. in Computer Science at the University of Waterloo. I am very proficient in deep neural networks and applied machine learning. With years of research experience in the fields of computer vision, representation learning of large scale graphs, big data processing, and its efficiency.
My M.Sc. is focused on increasing adversarial robustness of deep neural networks via injection of trainable random noise into its activations.
More info here.
Publications:
● "Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness", A. Jeddi, M. J. Shafiee, M. Karg, C. Scharfenberger, A. Wong. CVPR2020 main conference.
● "Deep Neural Network Perception Models and Robust Autonomous Driving Systems", M. J. Shafiee, A. Jeddi, A. Nazemi, P. Fieguth, A. Wong. IEEE signal processing magazine, special issue on autonomous driving.
● "Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness", A. Jeddi, M. J. Shafiee, M. Karg, C. Scharfenberger, A. Wong. Poster presentation in NeurIPS 2019 in the workshop "Safety and Robustness in Decision Making".
