PhD student, Michigan State University
1 paper at NeurIPS 2025
We introduce Obliviator, a nonlinear concept erasure method that guards against nonlinear adversaries. For any level of unwanted attribute protection, our method achieves higher task performance, revealing an empirical upper bound on this trade-off.