谁点击那里！：在一个相机饱和的社会里，
Who clicks there!: Anonymizing the photographer in a camera saturated society
摘要：
近年来，社交媒体在报道世界大事方面发挥着越来越重要的作用。近实时地发布众包照片和视频是产生高影响力的原因之一。然而，使用相机可能会将摄影师带入冲突的境地。例子包括监管机构使用摄像机收集黑手党行动的证据;公民在公共服务网点收集腐败证据;持不同政见者在公众集会上抗议。在所有这些情况下，发布的图像包含关于摄影师位置的相当明确的线索（场景视点信息）。在存在对手操作的相机的情况下，通过结合来自照片本身的泄露信息可以容易地识别摄影师。我们称之为摄像头位置检测攻击。我们提出并审查针对这种攻击的防御技术。诸如图像模糊技术之类的防御措施并不能保护摄像机位置信息;当前的匿名发布技术也无济于事。然而，视图合成算法的使用可能是在提供概率隐私保证的方向上有前途的一步。
英文摘要：
In recent years, social media has played an increasingly important role in reporting world events. The publication of crowd-sourced photographs and videos in near real-time is one of the reasons behind the high impact. However, the use of a camera can draw the photographer into a situation of conflict. Examples include the use of cameras by regulators collecting evidence of Mafia operations; citizens collecting evidence of corruption at a public service outlet; and political dissidents protesting at public rallies. In all these cases, the published images contain fairly unambiguous clues about the location of the photographer (scene viewpoint information). In the presence of adversary operated cameras, it can be easy to identify the photographer by also combining leaked information from the photographs themselves. We call this the camera location detection attack. We propose and review defense techniques against such attacks. Defenses such as image obfuscation techniques do not protect camera-location information; current anonymous publication technologies do not help either. However, the use of view synthesis algorithms could be a promising step in the direction of providing probabilistic privacy guarantees.
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