Visual and interactive techniques can pose specific challenges to personal privacy by enabling a human analyst to link data to context, pre-existing knowledge, and additional information obtained from various sources. Unlike in computational analysis, relevant knowledge and information do not have to be represented in a structured form in order to be used effectively by a human. Furthermore, humans can note such kinds of patterns and relationships that are hard to formalize and detect by computational techniques. The privacy issues particularly related to the use of visual and interactive methods are currently studied neither in the areas of visualization and visual analytics nor in the area of data mining and computational analysis. There is a need to fill this gap, which requires concerted inter-disciplinary efforts.