You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Survey on Interdependent Privacy 
Chapter Title:  Multimedia Data 
1. Abstract of Cited Paper (BIB001):  Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media. Nevertheless, performance of existing methods on real-world images is still significantly lacking, especially when compared to the tremendous leaps in performance recently reported for the related task of face recognition. In this paper we show that by learning representations through the use of deep-convolutional neural networks (CNN), a significant increase in performance can be obtained on these tasks. To this end, we propose a simple convolutional net architecture that can be used even when the amount of learning data is limited. We evaluate our method on the recent Adience benchmark for age and gender estimation and show it to dramatically outperform current state-of-the-art methods.

Literature Review:
Context. With mobile devices, including most modern smartphones and tablets, individuals can capture everyday life situations in the form of photos and videos (i.e., multimedia content). Such contents often feature individuals other than the individual who captured them, including family members, friends, friends of friends, colleagues, and strangers. And this content is often shared on OSNs (e.g., FB) or dedicated platforms (e.g., Flickr), possibly with (face) tags identifying the individuals featured in them. Unlike for other data types, with photos and videos, the data can be directly accessed by an attacker, hence he does not need to conduct any statistical inference. As such, photos and videos are multiple-subject data, not interdependent data (as defined in Section 2) per se. Therefore, the interdependent privacy risks associated with this type of data are mostly limited to the disclosure of the content itself. Yet, it is important to note that photos and videos can contain sensitive information about the individuals featured in them, including various personal and contextual attributes correlated with-thus inferable from-an individual's image or speech (e.g., gender and age BIB002 , ethnicity BIB001 , emotion, activity), and the fact that the individuals featured in the media are together, which reveals some information about their relationship  . In some cases, multimedia contents can also leak the location, and more generally the context, of the individuals featured in them.