Reiter, Michael K.

5 publications

ICML 2022 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif

AAAI 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

ICLR 2022 Practical Integration via Separable Bijective Networks Christopher M Bender, Patrick Emmanuel, Michael K. Reiter, Junier Oliva

ICML 2020 Defense Through Diverse Directions Christopher Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier Oliva

CVPRW 2018 On the Suitability of Lp-Norms for Creating and Preventing Adversarial Examples Mahmood Sharif, Lujo Bauer, Michael K. Reiter