44 citations · 60 across the 11 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
Selective Classification Under Distribution Shifts
Hengyue Liang, Le Peng, Ju Sun
In selective classification (SC), a classifier abstains from making predictions that are likely to be wrong to avoid excessive errors. To deploy imperfect classifiers -- either due…
cs.LG2023★ 2 cited
Optimization and Optimizers for Adversarial Robustness
Hengyue Liang, Buyun Liang, Le Peng +3
Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algo…
cs.LG2022
Optimization for Robustness Evaluation beyond Metrics
Hengyue Liang, Buyun Liang, Ying Cui +2
Empirical evaluation of deep learning models against adversarial attacks entails solving nontrivial constrained optimization problems. Popular algorithms for solving these constrai…