1. Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. Explaining and harnessing adversarial examples. In ICLR, 2015.
2. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy
3. Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu. Towards deep learning models resistant to adversarial attacks. In International Conference on Learning Representations, 2018.
4. Mark Niklas Mueller, Franziska Eckert, Marc Fischer, and Martin Vechev. Certified training: Small boxes are all you need. In ICLR, 2023.
5. Alexander Robey, Luiz Chamon, George J. Pappas, and Hamed Hassani. Probabilistically robust learning: Balancing average and worst-case performance. In International Conference on Machine Learning, pages 18667--18686, 2022.