Tianyu Pang

Empirical tricks for training robust models (ICLR 2021)

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)

Adversarial Defense for Ensemble Models (ICML 2019)

A Self-Consistent Robust Error (ICML 2022)

Related papers for robust machine learning

Further improve robustness of mixup-trained models in inference (ICLR 2020)

Coupling rejection strategy against adversarial attacks (CVPR 2022)

No description.

No description.

The official implement of paper "Does Federated Learning Really Need Backpropagation?"