Andreas MessalasDon’t be wrong because you might be fooled: Tips on how secure your ML modelIncrease the accuracy and the adversarial robustness of your ML model using explanationsMay 17, 2022May 17, 2022
Andreas MessalasFairness, Accountability & Transparency (F.Acc.T) under GDPRA deep dive into how F.Acc.T properties are interpreted by GDPRNov 13, 2020Nov 13, 2020
Andreas MessalasIs Twitter Biased Against BIPOC?A Fairness and Transparency analysis of Twitter’s black-box modelOct 14, 2020Oct 14, 2020
Andreas MessalasUsing explanations for finding bias in black-boxAn example of how Machine Learning Interpretability can help discover biases and discrimination in our modelOct 3, 2019Oct 3, 2019