Unmasking Adversarial AI with Pin-Yu Chen

Although it has its origins in the 1950s, techniques developed in the last few years in machine learning, and its offshoots neural networks and natural language processing, have produced remarkable results that would have been unthinkable to those early researchers. It is largely agreed that AI trustworthiness involves satisfying four conditions: fairness, transparency, explainability (and thus accountability) and robustness. Pin-Yu Chen is a research member of the Trusted AI Group & MIT-IBM AI Lab at the IBM Watson Research Center, who primarily focuses on the robustness of AI in neural networks and is one of the field’s most prolific researchers.

Source: techerati.com