most citedRepresentation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

11 citations · 11 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2026

Adversarial Benchmarks and BenchDoor Attacks: Exploiting Benchmark Incentives for Backdoor Attacks

Yixin Wu, Rachel Hong, Jamie Morgenstern +1

Machine learning benchmarks act as guideposts for model development and spur the creation of training datasets intended to improve benchmark scores. We introduce BenchDoor, a famil…

cs.LG2020★ 11 cited

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

Zhun Deng, Frances Ding, Cynthia Dwork +4

We investigate the power of censoring techniques, first developed for learning {\em fair representations}, to address domain generalization. We examine {\em adversarial} censoring…