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20222026
most citedTowards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations

2 citations · 5 across the 8 of their papers we have counts for

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3 papers · 1 filter

cs.LG2022

NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration

Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen +1

With the advancement of deep learning technology, neural networks have demonstrated their excellent ability to provide accurate predictions in many tasks. However, a lack of consid…

cs.CV2022★ 1 cited

CARBEN: Composite Adversarial Robustness Benchmark

Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen +1

Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e.g., perturbations bounded in Lp ball. However, mu…

cs.CV2022★ 2 cited

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations

Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen +1

Model robustness against adversarial examples of single perturbation type such as the -norm has been widely studied, yet its generalization to more realistic scenarios in…