Active Learning Under Malicious Mislabeling and Poisoning Attacks. - Jing Lin; Ryan Luley; Kaiqi Xiong (GLOBECOM, 2021)

From adversarial examples to data poisoning instances: utilizing an adversarial attack method to poison a transfer learning model. - Jing Lin; Ryan Luley; Kaiqi Xiong (ICC, 2022)

Improving Out-of-Distribution Detection by Learning From the Deployment Environment. - Nathan Inkawhich; Jingyang Zhang; Eric K. Davis; Ryan Luley; Yiran Chen 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. - Jingyang Zhang; Nathan Inkawhich; Randolph Linderman; Ryan Luley; Yiran Chen 001; Hai Helen Li (CoRR, 2023)

Adversarial Attacks on Foundational Vision Models. - Nathan Inkawhich; Gwendolyn McDonald; Ryan Luley (CoRR, 2023)