25 citations · 80 across the 12 of their papers we have counts for
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cs.LG2021★ 4 cited
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin, Bohang Zhang, Haiyang Wang +1
Distributionally robust optimization (DRO) is a widely-used approach to learn models that are robust against distribution shift. Compared with the standard optimization setting, th…
cs.LG2021★ 6 cited
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang, Du Jiang, Di He +1
Recently, Zhang et al. (2021) developed a new neural network architecture based on -distance functions, which naturally possesses certified robustness by…
cs.LG2021★ 3 cited
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
Bohang Zhang, Tianle Cai, Zhou Lu +2
It is well-known that standard neural networks, even with a high classification accuracy, are vulnerable to small -norm bounded adversarial perturbations. Although man…