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On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community.

A big public breach is a teachable moment for both you and your organization.

CVE-2018-0886："MS-RDP 逻辑 RCE 漏洞" 初步解读

IoT attacks show no signs of decreasing while infected IoT devices go un-remediated, and discovery of new thingbots is at a decade-long high.

IoT attacks show no signs of decreasing while infected IoT devices go un-remediated, and discovery of new thingbots is at a decade-long high.

IoT attacks show no signs of decreasing while infected IoT devices go un-remediated, and discovery of new thingbots is at a decade-long high.

2017 上半年一直处于比较悠闲的状态中，搞搞研究读读文章划划水，但是自我感觉技术上提升不多。迫于不想提前进入养老状态，8 月底便跑路去了一个觉得潜力不错的「创业公司」做安全开发，虽然有些累，不...

“The world is not made of strings, but is made of things.” ——辛

“The world is not made of strings, but is made of things.” ——辛

Reaper is just one more blinking light in the faces of the InfoSec community reminding us that we need to get ahead of IOT madness.

The same rTorrent XML-RPC function configuration error that was targeted to mine Monero in February was also targeted in January in a campaign apparently spoofing user-agents for RIAA and NYU.

The same rTorrent XML-RPC function configuration error that was targeted to mine Monero in February was also targeted in January in a campaign apparently spoofing user-agents for RIAA and NYU.

F5 Labs' David Holmes writes for Security Week, discussing the adoption and barriers of Perfect Forward Secrecy.

The same rTorrent XML-RPC function configuration error that was targeted to mine Monero in February was also targeted in January in a campaign apparently spoofing user-agents for RIAA and NYU.

We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version of the well-known MAML algorithm) that only needs black-box access to an optimizer such as SGD or Adam, with similar computational efficiency and performance.

We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project.