Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness. - Caner Hazirbas; Yejin Bang; Tiezheng Yu; Parisa Assar; Bilal Porgali; Vítor Albiero; Stefan Hermanek; Jacqueline Pan; Emily McReynolds; Miranda Bogen; Pascale Fung; Cristian Canton-Ferrer (CoRR, 2022)

Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications. - Micah Musser; Andrew Lohn; James X. Dempsey; Jonathan M. Spring; Ram Shankar Siva Kumar; Brenda Leong; Christina Liaghati; Cindy Martinez; Crystal D. Grant; Daniel Rohrer; Heather Frase; Jonathan Elliott; et al. (CoRR, 2023)