ivar + privacy   300

As Equifax Amassed Ever More Data, Safety Was a Sales Pitch - The New York Times
The company built algorithms and started scrubbing social media to assess consumers. In a big data collection coup, Equifax persuaded more than 7,000 employers to hand over salary details for an income verification system that now encompasses nearly half of American workers.
equifax  surveillance  capitalism  data  ml  profiling  corporation  privacy 
25 days ago by ivar
Big brother is here, and his name is Facebook | Hacker News
Interesting discussion about the surveillance capabilities of Google and Facebook
privacy  surveillance  facebook  google  hn 
9 weeks ago by ivar
Corporate Surveillance in Everyday Life
Corporate Surveillance in Everyday Life
Report: How thousands of companies monitor, analyze, and influence the lives of billions. Who are the main players in today’s digital tracking? What can they infer from our purchases, phone calls, web searches, and Facebook likes? How do online platforms, tech companies, and data brokers collect, trade, and make use of personal data?
data  privacy  surveillance  facebook  personal  profiling 
july 2017 by ivar
How Bureaucrats and Spies Turned Canada Into a Surveillance State | Motherboard
Canadians received a shock to the system when a spate of news items revealed how police and spy agencies flout the law and moral conventions to spy on citizens and journalists, in some cases dating back for many years.

“It is absolutely clear that CSIS and their Department of Justice lawyers made almost superhuman efforts to keep the fact that they were retaining metadata from the federal courts,” Fraser said.
canada  csis  surveillance  privacy  journalism  law  vice 
november 2016 by ivar
prosthetic knowledge — Accessorize to a Crime Research from Carnegie...
Research from Carnegie Mellon University can generate visual patterns onto glasses to either avoid facial recognition or ‘impersonate’ as someone else:

Machine learning is enabling a myriad innovations, including new algorithms for cancer diagnosis and self-driving cars. The broad use of machine learning makes it important to understand the extent to which machine-learning algorithms are subject to attack, particularly when used in applications where physical security or safety is at risk.
In this paper, we focus on facial biometric systems, which are widely used in surveillance and access control. We define and investigate a novel class of attacks: attacks that are physically realizable and inconspicuous, and allow an attacker to evade recognition or impersonate another individual. We develop a systematic method to automatically generate such attacks, which are realized through printing a pair of eyeglass frames. When worn by the attacker whose image is supplied to a state-of-the-art face-recognition algorithm, the eyeglasses allow her to evade being recognized or to impersonate another individual. Our investigation focuses on white-box face-recognition systems, but we also demonstrate how similar techniques can be used in black-box scenarios, as well as to avoid face detection.
surveillance  image  facial  recognition  privacy  camouflage  decoy 
november 2016 by ivar
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