1. Why do so?” - A Practical Perspective on Machine Learning Security;grosse;IEEE TIFS,2023
2. Position: ”Real Attackers Don’t Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice;apruzzese;Proc of SaTML,2023
3. Industrial practitioners’ mental models of adversarial machine learning;bieringer;Proc of SOUPS,2022
4. Adversarial machine learning-industry perspectives;kumar;Proc of IEEE SPW,2020
5. Towards Relatable Explainable AI with the Perceptual Process