DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers

17 October 2022

Papers citing "DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers"

2 / 2 papers shown

Title
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 66 6 0 20 Aug 2024
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017