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Google Cloud Platform 的 DLP API

在「New ways to manage sensitive data with the Data Loss Prevention API」這邊提到三月的時候就推出了 DLP API (在「Discover and redact sensitive data with the Data Loss Prevention API」這邊提到的),不過沒什麼印象:

The Data Loss Prevention (DLP) API, which went beta in March, can help you quickly find and protect over 50 types of sensitive data such as credit card numbers, names and national ID numbers.

這次看了一下範例,可以直接對圖片上面分析:

先記起來,看起來之後應該有機會用到?(像是分析使用者上傳的圖片)

Cloudflare 的 CEO 將被傳喚說明濫用權力

Cloudflare 的 CEO Matthew Prince,將會被法院傳喚說明 Cloudflare 在沒有收到法院傳票的情況下就終止服務的原因,以及一直不肯在沒有法院傳票的情況下移除盜版網站的 policy:「Cloudflare CEO Has to Explain Lack of Pirate Site Terminations」。

預期會有兩件事情被拿出來訊問,第一件是推廣新納粹主義以及白人優越主義The Daily Stormer 被主動終止服務:

In August, Cloudflare CEO Matthew Prince decided to terminate the account of controversial neo-Nazi site Daily Stormer.

第二件是終止網頁挖礦的服務:

Just a few days ago Cloudflare suspended the account of a customer for using a cryptocurrency miner. Apparently, Cloudflare classifies these miners as malware, triggering a punishment without a court order.

應該會有很精彩的結論 (對 Cloudflare 不利),來等著看戲...

2011 年的研究,開放辦公室與病假的關聯性

忘記從哪邊冒出來的連結,反正是個 2011 年的研究:「Sickness absence associated with shared and open-plan offices--a national cross sectional questionnaire survey.」。2011 年在丹麥的研究:

METHODS: The analysis was based on a national survey of Danish inhabitants between 18-59 years of age (response rate 62%), and the study population consisted of the 2403 employees that reported working in offices. The different types of offices were characterized according to self-reported number of occupants in the space. The log-linear Poisson model was used to model the number of self-reported sickness absence days depending on the type of office; the analysis was adjusted for age, gender, socioeconomic status, body mass index, alcohol consumption, smoking habits, and physical activity during leisure time.

都是與 cellular office 比較,可以看出大於六個人的開放辦公室病假的量高出許多:

RESULTS: Sickness absence was significantly related to having a greater number of occupants in the office (P<0.001) when adjusting for confounders. Compared to cellular offices, occupants in 2-person offices had 50% more days of sickness absence [rate ratio (RR) 1.50, 95% confidence interval (95% CI) 1.13-1.98], occupants in 3-6-person offices had 36% more days of sickness absence (RR 1.36, 95% CI 1.08-1.73), and occupants in open-plan offices (>6 persons) had 62% more days of sickness absence (RR 1.62, 95% CI 1.30-2.02).

CONCLUSION: Occupants sharing an office and occupants in open-plan offices (>6 occupants) had significantly more days of sickness absence than occupants in cellular offices.

看起來只是拉數字出來分析... 另外信心區間的洞好大 XD

波多黎各的 Project Loon 啟動

先前在「Alphabet (Google) 的 Project Loon 拿到授權,支援波多黎各的救災計畫」提到 Project Loon 當時還在研究要跟誰一起合作,現在確認會跟 AT&T 合作提供服務了:「Turning on Project Loon in Puerto Rico」。

Thanks to their support, we are now collaborating with AT&T to deliver emergency internet service to the hardest hit parts of the island.

接下來應該還會有不少數字丟出來... (像是透過 Project Loon 傳輸了多少資料,或是多少分鐘的語音通話)

加州也禁止詢問之前的薪資了

在「California bosses can no longer ask you about your previous salary」這邊看到的消息。繼「麻州立法禁止詢問前一份工作的薪資」與「紐約市也將禁止雇主詢問薪資」後,加州也加入了這個行列。

The salary privacy bill, was enacted by Gov. Jerry Brown on Thursday, Oct. 12, at a celebratory signing ceremony at Women’s Empowerment, a Sacramento nonprofit for homeless women. He was surrounded by members of the California Legislative Women’s Caucus.

法案將於 2018 年生效:

The salary privacy bill takes effect on January 1, 2018.

Twitter Moments 很大?

看到「How big is Twitter Moments?」這篇,在談 Twitter Moments

依照推算,Twitter Moments 的使用量應該比全世界任何一個媒體都大,但你會發現實際上沒有音量。沒有人談論他,沒有人引用他... 但估算起來他應該是超級大的產品?

有種「到底怎麼樣才算是一個成功的產品」的反思。

機器學習與情色產業的問題

Bruce Schneier 提到了最近幾個剛好相關的議題,關於機器學習在情色產業使用時遇到的隱私議題:「Technology to Out Sex Workers」。

第一個提到的是 PornHub 用機器學習辨識演員以及各種「其他資訊」,這邊引用的報導是 TechCrunch 的「PornHub uses computer vision to ID actors, acts in its videos」:

PornHub is using machine learning algorithms to identify actors in different videos, so as to better index them.

The computer vision system can identify specific actors in scenes and even identifies various positions and… attributes.

第二個提到的是花名與真實身份連在一起的問題:

People are worried that it can really identify them, by linking their stage names to their real names.

最後是提到 Facebook 已經有能力這樣做,而且已經發生了:

Facebook somehow managed to link a sex worker's clients under her fake name to her real profile.

Her sex-work identity is not on the social network at all; for it, she uses a different email address, a different phone number, and a different name. Yet earlier this year, looking at Facebook’s “People You May Know” recommendations, Leila (a name I’m using using in place of either of the names she uses) was shocked to see some of her regular sex-work clients.

這個議題與 Mass surveillance 有點像...。

Twitter 打算放寬到 280 字...

Twitter 打算放寬 140 字限制:「Giving you more characters to express yourself」。

不過不包括日文、中文與韓文 XD

We want every person around the world to easily express themselves on Twitter, so we're doing something new: we're going to try out a longer limit, 280 characters, in languages impacted by cramming (which is all except Japanese, Chinese, and Korean).

然後也拿日文與英文當範例:

然後做了比較:

波蘭政府的官方網站將會使用 Let's Encrypt

Twitter 上看到這則 tweet,指出波蘭政府的官方網站使用了 Let's Encrypt 的憑證:

SSL Labs 上也可以看出來:「SSL Server Test: www.gov.pl (Powered by Qualys SSL Labs)」。

不過不確定目前是暫時性的 (之後會換成其他的 SSL certificate),還是本來就打算這樣設計了。

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