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ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation.

, , , , , and . CCS, page 1265-1282. ACM, (2019)

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Computational comparison of prediction intervals of future observation for two-parameter exponential distribution., , and . Appl. Math. Comput., 184 (2): 1084-1117 (2007)An Eoq Model for Deteriorating Items with Time-varying Demand and Shortages., , and . Int. J. Systems Science, 31 (3): 391-400 (2000)Inferences on the lifetime performance index for Weibull distribution based on censored observations using the max p-value method.. Int. J. Systems Science, 42 (6): 931-937 (2011)Assessing the lifetime performance index of products with the exponential distribution under progressively type II right censored samples., , and . J. Comput. Appl. Math., 231 (2): 648-656 (2009)Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples., , , , and . J. Comput. Appl. Math., 235 (6): 1676-1688 (2011)What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors., , and . KDD, page 1027-1035. ACM, (2021)What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors., , and . CoRR, (2020)Computational procedure of lifetime performance index of products for the Burr XII distribution with upper record values., , and . Appl. Math. Comput., (2014)Computational comparison of prediction future lifetime of electronic components with Pareto distribution based on multiply type II censored samples., , and . Appl. Math. Comput., 184 (2): 374-406 (2007)Assessing the lifetime performance index of products from progressively type II right censored data using Burr XII model., , and . Math. Comput. Simul., 79 (7): 2167-2179 (2009)