New oracle-efficient algorithms for private synthetic data releaseGiuseppe VietriGrace Tianet al.2020ICML 2020
Enhancing simple models by exploiting what they already knowAmit DhurandharKarthikeyan Shanmugamet al.2020ICML 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacksSijia LiuSongtao Luet al.2020ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testingSanghamitra DuttaDennis Weiet al.2020ICML 2020
Safe reinforcement learning in constrained markov decision processesAkifumi WachiYanan Sui2020ICML 2020
Proper network interpretability helps adversarial robustness in classificationAkhilan BoopathySijia Liuet al.2020ICML 2020
Two simple ways to learn individual fairness metrics from dataDebarghya MukherjeeMikhail Yurochkinet al.2020ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resourcesYun Yun TsaiPin-Yu Chenet al.2020ICML 2020
Training individually fair ML models with sensitive subspace robustnessMikhail YurochkinAmanda Boweret al.2020ICLR 2020